Information and choice: nine reasons our future is in the balance

(The Bandra pedestrian skywalk in Mumbai, photo taken from the Collaborative Research Initiative Trust‘s study of Mumbai, “Being Nicely Messy“, produced for the 2012 Audi Urban Futures awards)

The 19th and 20th centuries saw the flowering and maturation of the Industrial Revolution and the creation of the modern world. Standards of living worldwide increased dramatically as a consequence – though so did inequality.

The 21st century is already proving to be different. We are reaching the limits of supply of the natural resources and cheap energy that supported the last two centuries of development; and are starting to widely exploit the most powerful man-made resource in history: digital information.

Our current situation isn’t simply an evolution of the trends of the previous two centuries; nine “tipping points” in economics, society, technology and the environment indicate that our future will be fundamentally different to the past, not just different by degree.

Three of those tipping points represent changes that are happening as the ultimate consequences of the Industrial Revolution and the economic globalisation and population growth it created; three of them are the reasons I think it’s accurate to characterise the changes we see today as an Information Revolution; and the remaining three represent challenges for us to face in the future.

The difficulty faced in addressing those challenges internationally through global governance institutions is illustrated by the current status of world trade deal and climate change negotiations; but our ability to respond to them is not limited to national and international governments. It is in the hands of businesses, communities and each of us as individuals as new business models emerge.

The structure of the economy is changing

In 2012, the Collaborative Research Initiatives Trust were commissioned by the Audi Urban Futures Awards to develop a vision for the future of work and life in Mumbai. In the introduction to their report, “Being Nicely Messy“, they cite a set of statistics describing Mumbai’s development that nicely illustrate the changing nature of the city:

“While the population in Mumbai grew by 25% between 1991 and 2010, the number of people travelling by trains during the same years increased by 66% and the number of vehicles grew by 181%. At the same time, the number of enterprises in the city increased by 56%.

All of this indicates a restructuring of the economy, where the nature of work and movement has changed.”

(From “Being Nicely Messy“, 2011, Collaborative Research Initiatives Trust)

Following CRIT’s inspiration, over the last year I’ve been struck by several similar but more widely applicable sets of data that, taken together, indicate that a similar restructuring is taking place across the world.

ScreenHunter_223 Nov. 28 00.06

(Professor Robert Gordon’s analysis of historic growth in productivity, as discussed by the famous investor Jeremy Grantham, showing that the unusual growth experienced through the Industrial Revolution may have come to an end. Source: Gordon, Robert J., “Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds,” NBER Working Paper 18315, August 2012)

The twilight of the Industrial Revolution

Tipping point 1: the slowing of economic growth

According to the respected investor Jeremy Grantham, Economic growth has slowed systemically and permanently. He states that: “Resource costs have been rising, conservatively, at 7% a year since 2000 … in a world growing at under 4% and [in the] developed world at under 1.5%”

Grantham’s analysis is that the rapid economic growth of the last century was a historical anomaly driven by the productivity improvements made possible through the Industrial Revolution; and before that revolution reached such a scale as to create global competition for resources and energy. Property and technology bubbles extended that growth into the early 21st Century, but it has now reduced to much more modest levels where Grantham expects it to remain. The economist Tyler Cowan came to similar conclusions in his 2011 book, “The Great Stagnation“.

This analysis was supported by the property developers I met at a recent conference in Birmingham. They told me that indicators in their market today are the most positive they have been since the start of the 1980s property boom; but none of them expect that boom to be repeated. The market is far more cautious concerning medium and long-term prospects for growth.

We have passed permanently into an era of more modest economic growth than we have become accustomed to; or at very least into an era whereby we need to restructure the relationship between economic growth and the consumption of resources and energy in ways that we have not yet determined before higher growth does return. We have passed a tipping point; the world has changed.

(Growth in the world's urban population as reported by World Urbanization Prospects”, 2007 Revision, Department of Economic and Social Affairs, United Nations)

(Growth in the world’s urban population as reported by “World Urbanization Prospects”, 2007 Revision, Department of Economic and Social Affairs, United Nations)

Tipping point 2: urbanisation and the industrialisation of food supply 

As has been widely quoted in recent years, more than half the world’s population has lived in cities since 2010 according to the United Nations Department of Economic and Social Affairs. That percentage is expected to increase to 70% by 2050.

The implications of those facts concern not just where we live, but the nature of the economy. Cities became possible when we industrialised the production and distribution of food, rather than providing it for ourselves on a subsistence basis; or producing it in collaboration with our neighbours. For this reason, many developing nations still undergoing urbanisation and industrialisation – such as Tanzania, Turkmenistan and Tajikstan – still formally define cities by criteria including “the pre-dominance of non-agricultural workers and their families” (as referenced in the United Nations’ “World Urbanization Prospects” 2007 Revision).

So for the first time more than half the world’s population now lives in cities; and is provided with food by industrial supply chains rather than by families or neighbours. We have passed a tipping point; the world has changed.

(Estimated damage in $US billion caused by natural disasters between 1900 and 2012 as reported by EM-DAT)

(Estimated damage in $US billion caused by natural disasters between 1900 and 2012 as reported by EM-DAT)

Tipping point 3: the frequency and impact of extreme weather conditions

As our climate changes, we are experiencing more unusual and extreme weather. In addition to the devastating impact recently of Typhoon Haiyan in the Philippines,  cities everywhere are regularly experiencing the effects to a more modest degree.

One city in the UK told me recently that inside the last 12 months they have dealt with such an increase in incidents of flooding severe enough to require coordinated cross-city action that it has become an urgent priority for local Councillors. We are working with other cities in Europe to understand the effect of rising average levels of flooding – historic building construction codes mean that a rise in average levels of a meter or more could put significant numbers of buildings at risk of falling down. The current prediction from the United Nations International Panel on Climate Change is that levels will rise somewhere between 26cm and 82cm by the end of this century – close enough for concern.

The EM-DAT International Disasters Database has calculated the financial impact of natural disasters over the past century. They have shown that in recent years the increased occurrence of unusual and extreme weather combined with the increasing concentration of populations and economic activity in cities has caused this impact to rise at previously unprecedented rates.

The investment markets have identified and responded to this trend. In their recent report “Global Investor Survey on Climate Change”, the Global Investor Coalition on Climate Change reported this year that 53% of fund managers collectively responsible for $14 trillion of assets indicated that they had divested stocks, or chosen not to invest in stocks, due to concerns over the impact of climate change on the businesses concerned. We have passed a tipping point; the world has changed.

(The prediction of exponential growth in digital information from EMC's Digital Universe report)

(The prediction of exponential growth in digital information from EMC’s Digital Universe report)

The dawn of the Information Revolution

Tipping point 4: exponential growth in the world’s most powerful man-made resource, digital information

Information has always been crucial to our world. Our use of language to share it is arguably a defining characteristic of what it means to be human; it is the basis of monetary systems for mediating the exchange of goods and services; and it is a core component of quantum mechanics, one of the most fundamental physical theories that describes how our universe behaves.

But the emergence of broadband and mobile connectivity over the last decade have utterly transformed the quantity of recorded information in the world and our ability to exploit it.

EMC’s Digital Universe report shows that in between 2010 and 2012 more information was recorded than in all of previous human history. They predict that the quantity of information recorded will double every 2 years, meaning that at any point in the next two decades it will be true to make the same assertion that “more information was recorded in the last two years than in all of previous history”. In 2011 McKinsey described the “information economy” that has emerged to exploit this information as a fundamental shift in the basis of the economy as a whole.

Not only that, but information has literally been turned into money. The virtual currency Bitcoin is based not on the value of a raw material such as gold whose availability is physically limited; but on the outcomes of extremely complex cryptographic calculations whose performance is limited by the speed at which computers can process information. The value of Bitcoins is currently rising incredibly quickly – from $20 to $1000 since January; although it is also subject to significant fluctuations. 

Ultimately, Bitcoin itself may succeed or fail – and it is certainly used in some unethical and dangerous transactions as well as by ordinary people and businesses. But its model has demonstrated in principle that a decentralised, non-national, information-based currency can operate successfully, as my colleague Richard Brown recently explained.

Digital information is the most valuable man-made resource ever invented; it began a period of exponential growth just three years ago and has literally been turned into money. We have passed a tipping point; the world has changed.

Tipping point 5: the disappearing boundary between humans, information and the physical world

In the 1990s the internet began to change the world despite the fact that it could only be accessed by using an expensive, heavy personal computer; a slow and inconvenient telephone modem; and the QWERTY keyboard that was designed in the 19th Century to prevent typists from typing faster than the levers in mechanical typewriters could move.

Three years ago, my then 2-year-old son taught himself how to use a touchscreen tablet to watch cartoons from around the world before he could read or write. Two years ago, Scientists at the University of California at Berkeley used a Magnetic Resonance Imaging facility to capture images from the thoughts of a person watching a film. A less sensitive mind-reading technology is already available as a headset from Emotiv, which my colleagues in IBM’s Emerging Technologies team have used to help a paralysed person communicate by thinking directional instructions to a computer.

Earlier this year, a paralysed woman controlled a robotic arm by thought; and prosthetic limbs, a working gun and living biological structures such as muscle fibre and skin are just some of the things that can be 3D printed on demand from raw materials and digital designs.

Our thoughts can control information in computer systems; and information in those systems can quite literally shape the world around us. The boundaries between our minds, information and the physical world are disappearing. We have passed a tipping point; the world has changed.

(A personalised prosthetic limb constructed using 3D printing technology. Photo by kerolic)

Tipping point 6: the miniaturisation of industry

The emergence of the internet as a platform for enabling sales, marketing and logistics over the last decade has enabled small and micro-businesses to reach markets across the world that were previously accessible only to much larger organisations with international sales and distribution networks.

More recently, the emergence and maturation of technologies such as 3D printingopen-source manufacturing and small-scale energy generation are enabling small businesses and community initiatives to succeed in new sectors by reducing the scale at which it is economically viable to carry out what were previously industrial activities – a trend recently labelled by the Economist magazine as the “Third Industrial Revolution“. The continuing development of social media and pervasive technology enable them to rapidly form and adapt supply and exchange networks with other small-scale producers and consumers.

Estimates of the size of the resulting “sharing economy“, defined by Wikipedia as “economic and social systems that enable shared access to goods, services, data and talent“, vary widely, but are certainly significant. The UK Economist magazine reports one estimate that it is a $26 billion economy already, whilst 2 Degrees Network report that just one aspect of it – small-scale energy generation – could save UK businesses £33 billion annually by 2030Air B’n’B – a peer-to-peer accommodation service – reported recently that they had contributed $632 million in value to New York’s economy in 2012 by enabling nearly 5,000 residents to earn an average of $7,500 by renting their spare rooms to travellers; and as a consequence of those travellers additionally spending an average of $880 in the city during their stay. Overall, there has been a significant rise in self-employment and “micro-entrepreneurial” enterprises over the last few years, which now account for 14% of the US economy.

Organisations participating in the sharing economy exhibit a range of motivations and ethics – some are aggressively commercial, whilst others are “social enterprises” with a commitment to reinvest profits in social growth. The social enterprise sector, comprised of mutuals, co-operatives, employee-owned businesses and enterprises who submit to “triple bottom line” accounting of financial, social and environmental capital, is about 15% of the value of most economies, and has been growing and creating jobs faster than traditional business since the 2008 crash.

In the first decade of the 21st Century, mobile and internet technologies caused a convergence between the technology, communications and media sectors of the economy. In this decade, we will see far more widespread disruptions and convergences in the technology, manufacturing, creative arts, healthcare and utilities industries; and enormous growth in the number of small and social enterprises creating innovative business models that cut across them. We have passed a tipping point; the world has changed.

Rebalancing the world

Tipping point 7: how we respond to climate change and resource constraints

There is now agreement amongst scientists, expressed most conclusively by the United Nations International Panel on Climate Change this year, that the world is undergoing a period of overall warming resulting from the impact of human activity. But there is not yet a consensus on how we should respond.

Views vary from taking immediate, sweeping measures to drastically cut carbon and greenhouse gas emissions,  to the belief that we should accept climate change as inevitable and focus investment instead on adapting to it, as suggested by the “Skeptical Environmentalist” Bjørn Lomborg and the conservative think-tank the American Enterprise Institute. As a result of this divergence of opinion, and of the challenge of negotiating between the interests of countries, communities and businesses across the world, the agreement reached by last year’s climate change negotiations in Doha was generally regarded as relatively weak.

Professor Chris Rogers of the University of Birmingham and his colleagues in the Urban Futures initiative have assessed over 450 proposed future scenarios and identified four archetypes (described in his presentation to Base Cities Birmingham) against which they assess the cost and effectiveness of environmental and climate interventions. The “Fortress World” scenario is divided between an authoritarian elite who control the world’s resources from their protected enclaves and a wider population living in poverty. In “Market Forces”, free markets encourage materialist consumerism to wholly override social and environmental values; whilst in “Policy Reform” a combination of legislation and citizen behaviour change achieve a balanced outcome. And in the “New Sustainability Paradigm” the pursuit of wealth gives way to a widespread aspiration to achieve social equality and environmental sustainability. (Chris is optimistic enough that his team dismissed another scenario, “Breakdown”, as unrealistic).

Decisions that are taken today affect the degree to which our world will evolve to resemble those scenarios. As the impact of weather and competition for resources affect the stability of supply of energy and foodmany cities are responding to the relative lack of national and international action by taking steps themselves. Some businesses are also building strategies for long-term success and profit growth  around sustainability; in part because investing in a resilient world is a good basis for a resilient business, and in part because they believe that a genuine commitment to sustainability will appeal to consumers. Unilever demonstrated that they are following this strategy recently by committing to buy all of their palm oil – of which they consume one third of the world’s supply – from traceable sources by the end of 2014.

At some point, we will all – individuals, businesses, communities, governments – be forced to change our behaviour to account for climate change and the limits of resource availability: as the prices of raw materials, food and energy rise; and as we are more and more directly affected by the consequences of a changing environment.

The questions are: to what extent have these challenges become urgent to us already; and how and when will we respond?

(“Makers” at the Old Print Works in Balsall Heath, Birmingham, sharing the tools, skills and ideas that create successful small businesses)

Tipping point 8: the end of the average career

In “The End of Average“, the economist Tyler Cowen observed that about 60% of the jobs lost during the 2008 recession were in mid-wage occupations; and the UK Economist magazine reported that many jobs lost from professional industries had been replaced in artisan trades and small-scale industry such as food, furniture and design.

Echoing Jeremy Grantham, Cowen further observes that these changes take place within a much longer term 28% decline in middle-income wages in the US between 1969 and 2009 which has no identifiable single cause. Cowen worries that this is a sign that the economy is beginning to diverge into the authoritarian elite and the impoverished masses of Chris Rogers’ “Fortress World” scenario.

Other evidence points to a more complex picture. Jake Dunagan, Research Director of the Institute for the Future, believes that the widespread availability of digital technology and information is extending democracy and empowerment – just as the printing press and education did in the last millennium as they dramatically increased the extent to which people were informed and able to make themselves heard. Dunagan notes that through our reliance on technology and social media to find and share information, our thoughts and beliefs are already formed by, and having an effect on, society in a way that is fundamentally new.

The miniaturisation of industry (tipping point 6 above) and the disappearance of the boundary between our minds and bodies, information and the physical world (tipping point 5 above) are changing the ways in which resources and value are exchanged and processed out of all recognition. Just imagine how different the world would be if a 3D-printing service such as Shapeways transformed the manufacturing industry as dramatically as iTunes transformed the music industry 10 years ago. Google’s futurologist Thomas Frey recently described 55 “jobs of the future” that he thought might appear as a result.

(Activities comprising the “Informal Economy” and their linkages to the mainstream economy, by Claro Partners)

In both developed and emerging countries, informal, social and micro-businesses are significant elements of the economy, and are growing more quickly than traditional sectorsClaro partners estimate that the informal economy (in which they include alternative currencies, peer-to-peer businesses, temporary exchange networks and micro-businesses – see diagram, right) is worth $10 trillion worldwide, and that it employs up to 80% of the workforce in emerging markets. 

In developed countries, the Industrial Revolution drove a transformation of such activity into a more formal economy – a transformation which may now be in part reversing. In developing nations today, digital technology may make part of that transformation unnecessary. 

To be successful in this changing economy, we will need to change the way we learn, and the way we teach our children. Cowen wrote that “We will move from a society based on the pretense that everyone is given an okay standard of living to a society in which people are expected to fend for themselves much more than they do now”; and expressed a hope that online education offers the potential for cheaper and more widespread access to new skills to enable people to do so. This thinking echoes a finding of the Centre for Cities report “Cities Outlook 1901” that the major factor driving the relative success or failure of UK cities throughout the 20th Century was their ability to provide their populations with the right skills at the right time as technology and industry developed.

The marketeer and former Yahoo Executive Seth Godin’s polemic “Stop Stealing Dreams” attacked the education system for continuing to prepare learners for stable, traditional careers rather than the collaborative entrepreneurialism that he and other futurists expect to be required. Many educators would assert that their industry is already adapting and will continue to do so – great change is certainly expected as the ability to share information online disrupts an industry that developed historically to share it in classrooms and through books.

Many of the businesses, jobs and careers of 2020, 2050 and 2100 will be unrecognisable or even unimaginable to us today; as are the skills that will be needed to be successful in them. Conversely, many post-industrial cities today are still grappling with challenges created by the loss of jobs in manufacturing, coalmining and shipbuilding industries in the last century.

The question for our future is: will we adapt more comfortably to the sweeping changes that will surely come to the industries that employ us today?

("Lives on the Line" by James Cheshire at UCL's Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

(“Lives on the Line” by James Cheshire at UCL’s Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

Tipping point 9: inequality

The benefits of living in cities are distributed extremely unevenly.

The difference in life expectancy of children born into the poorest and wealthiest areas of UK cities today is often as much as 20 years – for boys in Glasgow the difference is 28 years. That’s a deep inequality in the opportunity to live.

There are many causes of that inequality, of course: health, diet, wealth, environmental quality, peace and public safety, for example. All of them are complex, and the issues that arise from them to create inequality – social deprivation and immobility, economic disengagement, social isolation, crime and lawlessness – are notoriously difficult to address.

But a fundamental element of addressing them is choosing to try to do so. That’s a trite observation, but it is nonetheless the case that in many of our activities we do not make that choice – or, more accurately, as individuals, communities and businesses we take choices primarily in our own interests rather than based on their wider impact.

Writing about cities in the 1960s, the urbanist Jane Jacobs observed that:

“Private investment shapes cities, but social ideas (and laws) shape private investment. First comes the image of what we want, then the machinery is adapted to turn out that image. The financial machinery has been adjusted to create anti-city images because, and only because, we as a society thought this would be good for us. If and when we think that lively, diversified city, capable of continual, close- grained improvement and change, is desirable, then we will adjust the financial machinery to get that.”

In many respects, we have not shaped the financial machinery of the world to achieve equality. Nobel Laureate Joseph Stiglitz wrote recently that in fact the financial machinery of the United States and the UK in particular create considerable inequality in those countries; and the Economist magazine reminds us of the enormous investments made into public institutions in the past in order to distribute the benefits of the Industrial Revolution to society at large rather than concentrate them on behalf of business owners and the professional classes – with only partial success.

New legislation in banking has been widely debated and enacted since the 2008 financial crisis – enforcing the separation of commercial and investment banking, for example. But addressing inequality is a much broader challenge than the regulation of banking, and will not only be addressed by legislation. Business models such as social enterprise, cross-city collaborations and the sharing economy are emerging to develop sustainable businesses in industries such as food, energy, transportation and finance, in addition to the contribution made by traditional businesses building sustainability into their strategies.

Whenever we vote, buy something or make a choice in business, we contribute to our overall choice to develop a fairer, more sustainable world in which everyone has a chance to participate. The question is not just whether we will take those choices; but the degree to which their impact on the wider world will be apparent to us so that we can do so in an informed way.

That is a challenge that technology can help with.

(A smartphone alert sent to a commuter in a San Francisco pilot project by IBM Research and Caltrans that provides personalised daily predictions of commuting journey times. The predictions gave commuters the opportunity to take a better-informed choice about their travel to work.)

Data and Choice

Like the printing press, the vote and education, access to data allows us to make more of a difference than we were able to without it.

Niall Firth’s November editorial for the New Scientist magazine describes how citizens of developing nations are using open data to hold their governments to account, from basic information about election candidates to the monitoring of government spending. In the UK, a crowd-sourced analysis of politicians’ expenses claims that had been leaked to the press resulted in resignations, the repayment of improperly claimed expenses, and in the most severe cases, imprisonment.

Unilever are committing to making their supply chain for palm oil traceable precisely because that data is what will enable them to next improve its sustainability; and in Almere, city data and analytics are being used to plan future development of the city in a way that doesn’t cause harmful impacts to existing citizens and residents. Neither initiative would have been possible or affordable without recent improvements in technology.

Data and technology, appropriately applied, give us an unprecedented ability to achieve our long-term objectives by taking better-informed, more forward-looking decisions every day, in the course of our normal work and lives. They tell us more than we could ever previously have known about the impact of those decisions.

That’s why the tipping points I’ve described in this article matter to me. They translate my general awareness that I should “do the right thing” into a specific knowledge that at this point in time, my choices in many aspects of daily work and life contribute to powerful forces that will shape the next century that we share on this planet; and that they could help to tip the balance in all of our favour.

A design pattern for a Smarter City: Online Peer-to-Peer and Regional Marketplaces

(Photo of Moseley Farmers’ Market in Birmingham by Bongo Vongo)

(In “Do we need a Pattern Language for Smarter Cities” I suggested that “design patterns“, a tool for capturing re-usable experience invented by the town-planner Christopher Alexander, might offer a useful way to organise our knowledge of successful approaches to “Smarter Cities”. I’m now writing a set of design patterns to describe ideas that I’ve seen work more than once. The collection is described and indexed in “Design Patterns for Smarter Cities” which can be found from the link in the navigation bar of this blog).  

Design Pattern: Online Peer-to-Peer and Regional Marketplaces

Summary of the pattern:

A society is defined by the transactions that take place within it, whether their characteristics are social or economic, and whether they consist of material goods or communication. Many of those transactions take place in some form of marketplace.

As traditional business has globalised and integrated over the last few decades, many of the systems that support us – food production and distribution, energy generation, manufacturing and resource extraction, for example – have optimised their operations globally and consolidated ownership to exploit economies of scale and maximise profits. Those operations have come to dominate the marketplaces for the goods and services they consume and process; they defend themselves from competition through the expense and complexity of the business processes and infrastructures that support their operations; through their brand awareness and sales channels to customers; and through their expert knowledge of the availability and price of the resources and components they need.

However, in recent years dramatic improvements in information and communication technology – especially social mediamobile devicese-commerce and analytics – have made it dramatically easier for people and organisations with the potential to transact with each other to make contact and interact. Information about supply and demand has become more freely available; and it is increasingly easy to reach consumers through online channels – this blog, for instance, costs me nothing to write other than my own time, and now has readers in over 140 countries.

In response, online peer-to-peer marketplaces have emerged to compete with traditional models of business in many industries – Apple’s iTunes famously changed the music industry in this way; YouTube has transformed the market for video content and Prosper and Zopa have created markets for peer-to-peer lending. And as technologies such as 3D printing and small-scale energy generation improve, these ideas will spread to other industries as it becomes possible to carry out activities that previously required expensive, large-scale infrastructure at a smaller scale, and so much more widely.

(A Pescheria in Bari, Puglia photographed by Vito Palmi)

Whilst many of those marketplaces are operated by commercial organisations which exist to generate profit, the relevance of online marketplaces for Smarter Cities arises from their ability to deliver non-financial outcomes: i.e. to contribute to the social, economic or environmental objectives of a city, region or community.

The e-Bay marketplace in second hand goods, for example, has extended the life of over $100 billion of goods since it began operating by offering a dramatically easier way for buyers and sellers to identify each other and conduct business than had ever existed before. This spreads the environmental cost of manufacture and disposal of goods over the creation of greater total value from them, contributing to the sustainability agenda in every country in which e-Bay operates.

Local food marketplaces such as Big Barn and Sustaination in the UK, m-farm in Kenya and the fish-market pricing information service operated by the University of Bari in Puglia, Italy, make it easier for consumers to buy locally produced food, and for producers to sell it; reducing the carbon footprint of the food that is consumed within a region, and assisting the success of local businesses.

The opportunity for cities and regions is to encourage the formation and success of online marketplaces in a way that contributes to local priorities and objectives. Such regional focus might be achieved by creating marketplaces with restricted access – for example, only allowing individuals and organisations from within a particular area to participate – or by practicality: free recycling networks tend to operate regionally simply because the expense of long journeys outweighs the benefit of acquiring a secondhand resource for free. The cost of transportation means that in general many markets which support the exchange of physical goods and services in small-scale, peer-to-peer transactions will be relatively localised.

City systems, communities and infrastructures affected:

(This description is based on the elements of Smarter City ecosystems presented in ”The new Architecture of Smart Cities“).

  • Goals: all
  • People: employees, business people, customers, citizens
  • Ecosystem: private sector, public sector, 3rd sector, community
  • Soft infrastructures: innovation forums; networks and community forums
  • Hard infrastructures: information and communication technology, transport and utilities network

Commercial operating model:

The basic commercial premise of an online marketplace is to invest in the provision of online marketplace infrastructure in order to create returns from revenue streams within it. Various revenue streams can be created: for example, e-Bay apply fees to transactions conducted through their marketplace, as does the crowdfunding scheme Spacehive; whereas Linked-In charges a premium subscription fee to businesses such as recruitment agencies in return for the right to make unsolicited approaches to members.

More complex revenue models are created by allowing value-add service providers to operate in the marketplace – such as the payment service PayPal, which operated in e-Bay long before it was acquired; or the start-up Addiply, who add hyperlocal advertising to online transactions. The marketplace operator can also provide fee-based “white-label” or anonymised access to marketplace services to allow third parties to operate their own niche marketplaces – Amazon WebStore, for example, allows traders to build their own, branded online retail presence using Amazon’s services.

(Photo by Mark Vauxhall of public Peugeot Ions on Rue des Ponchettes, Nice, France)

Online marketplaces are operated by a variety of entities: entrepreneurial technology companies such as Shutl, for example, who offer services for delivering goods bought online through a marketplace provding access to independent delivery agents and couriers; or traditional commercial businesses seeking to “servitise” their business models, create “disruptive business platforms” or create new revenue streams from data.

(Apple’s iTunes was a disruptive business platform in the music industry when it launched – it used a new technology-enabled marketplace to completely change flows of money within the industry; and streaming media services such as Spotify have servitised the music business by allowing us to pay for the right to listen to any music we like for a certain period of time, rather than paying for copies of specific musical works as “products” which we own outright. Car manufacturers such as Peugeot are collaborating with car clubs to offer similar “pay-as-you-go” models for car use, particularly as an alternative to ownership for electric cars. Some public sector organisations are also exploring these innovations, especially those that possess large volumes of data.)

Marketplaces can create social, economic and environmental outcomes where they are operated by commercial, profit-seeking organisations which seek to build brand value and customer loyalty through positive environmental and societal impact. Many private enterprises are increasingly conscious of the need to contribute to the communities in which they operate. Often this results from the desire of business leaders to promote responsible and sustainable approaches, combined with the consumer brand-value that is created by a sincere approach. UniLever are perhaps the most high profile commercial organisation pursuing this strategy at present; and Tesco have described similar initiatives recently, such as the newly-launched Tesco Buying Club which helps suppliers secure discounts through collective purchasing. There is a clearly an opportunity for local communities and local government organisations to engage with such initiatives from private enterprise to explore the potential for online marketplaces to create mutual benefit.

In other cases, marketplaces are operated by not-for-profit organisations or social enterprises for whom creating social or economic outcomes in a financially and environmentally sustainable way is the first priority. The social enterprise approach is important if cities everywhere are to benefit from information marketplaces: most commercially operated marketplaces with a geographic focus operate in large, capital cities: these provide the largest customer base and minimise the risk associated with the investment in creating the market. If towns, cities and regions elsewhere wish to benefit from online marketplaces, they may need to encourage alternative models such as social enterprise to deliver them.

Finally, Some schemes are operated entirely on free basis, for example the Freecycle recycling network; or as charitable or donor-sponsored initiatives, for example the Kiva crowdfunding platform for charitable initiatives.

Soft infrastructures, hard infrastructures and assets required:

(The SMS for Life project uses the cheap and widely used SMS infrastructure to create a dynamic, collaborative supply chain for medicines between pharmacies in Africa. Photo by Novartis AG)

The technology infrastructures required to implement online marketplaces include those associated with e-commerce technology and social media: catalogues of goods and services; pricing mechansims; support for marketing campaigns; networks of individuals and organisations and the ability to make connections between them; payments services and multi-channel support.

Many e-commerce platforms offer support for online payments integrated with traditional banking systems; or mobile payments schemes such as the M-Pesa scheme in Kenya can be used. Alternatively, the widespread growth in local currencies and alternative trading systems might offer innovative solutions that are particularly relevant for marketplaces with a regional focus.

In order to be successful, marketplaces need to create an environment of trust in which transactions can be undertaken safely and reliably. As the internet has developed over the past two decades, technologies such as certificate-based identity assurance, consumer reviews and reputation schemes have emerged to create trust in online transactions and relationships. However, many online marketplaces provide robust real-world governance models in addition to tools to create online trust: the peer-to-peer lender Zopa created “Zopa Safeguard“, for example, an independent, not-for-profit entity with funds to re-imburse investors whose debtors are unable to repay them.

Marketplaces which involve the transaction of goods and services with some physical component – whether in the form of manufactured goods, resources such as water and energy or services such as in-home care – will also require transport services; and the cost and convenience of those services will need to be appropriate to the value of exchanges in the marketplace. Shutl’s transportation marketplace is in itself an innovation in delivering more convenient, lower cost delivery services to online retail marketplaces. By contrast, community energy schemes, which attempt to create local energy markets that reduce energy usage and maximise consumption of power generated by local, renewable resources, either need some form of smart grid infrastructure, or a commercial vehicle, such as a shared energy performance contract.

Driving forces:

  • The desire of regional authorities and business communities to form supply chains, market ecosystems and trading networks that maximise the creation and retention of economic value within a region; and that improve economic growth and social mobility.
  • The need to improve efficiency in the use of assets and resources; and to minimise externalities such as the excessive transport of goods and services.
  • The increasing availability and reducing cost of enabling technologies providing opportunities for new entrants in existing marketplaces and supply chains.

Benefits:

  • Maximisation of regional integration in supply networks.
  • Retention of value in the local economy.
  • Increased efficiency of resource usage by sharing and reusing goods and services.
  • Enablement of new models of collaborative asset ownership, management and use.
  • The creation of new business models to provide value-add products and services.

Implications and risks:

(West Midlands police patrolling Birmingham’s busy Frankfurt Market in Christmas, 2012. Photo by West Midlands Police)

Marketplaces must be carefully designed to attract a critical mass of participants with an interest in collaborating. It is unlikely, for example, that a group of large food retailers would collaborate in a single marketplace in which to sell their products to citizens of a particular region. The objective of such organisations is to maximise shareholder value by maximising their share of customers’ weekly household budgets. They would have no interest in sharing information about their products alongside their competitors and thus making it easier for customers to pick and choose suppliers for individual products.

Small, specialist food retailers have a stronger incentive to join such marketplaces: by adding to the diversity of produce available in a marketplace of specialist suppliers, they increase the likelihood of shoppers visiting the marketplace rather than a supermarket; and by sharing the cost of marketplace infrastructure – such as payments and delivery services – each benefits from access to a more sophisticated infrastructure than they could afford individually.

Those marketplaces that require transportation or other physical infrastructures will only be viable if they create transactions of high enough value to account for the cost of that infrastructure. Such a challenge can even apply to purely information-based marketplaces: producing high quality, reliable information requires a certain level of technology infrastructure, and marketplaces that are intended to create value through exchanging information must pay for the cost of that infrastructure. This is one of the challenges facing the open data movement.

If the marketplace does not provide sufficient security infrastructure and governance processes to create trust between participants – or if those participants do not believe that the infrastructure and governance are adequate – then transactions will not be carried out.

Some level of competition is inevitable between participants in a marketplace. If that competition is balanced by the benefits of better access to trading partners and supporting services, then the marketplace will succeed; but if competitive pressures outweigh the benefits, it will fail.

Alternatives and variations:

  • Local currencies and alternative trading systems are in many ways similar to online marketplace; and are often a supporting component
  • Some marketplaces are built on similar principles, and certainly achieve “Smart” outcomes, but do not use any technology. The Dhaka Waste Concern waste recycling scheme in Bangladesh, for example, turns waste into a market resource, creating jobs in the process.

Examples and stories:

Sources of information:

I’ve written about digital marketplaces several times on this blog, including the following articles:

Industry experts and consultancies have published work on this topic that is well worth considering:

Three mistakes we’re still making about Smart Cities

(David Willets, MP, Minister for Universities and Science, launches the UK Government’s Smart Cities Forum)

(I was asked this week to contribute my view of the present state of the Smart Cities movement to the UK Government’s launch of it’s Smart Cities forum, which will report to the Government’s Information Economy Council. This article is based on my remarks at the event).

One measure of how successfully we have built today’s cities using the technologies that shaped them over the last century – concrete, steel and the internal combustion engine – is the variation of life expectancy within them. In the UK, people born in the poorest areas of our large cities can expect to live lives that are two decades shorter than those born in the wealthiest areas.

We need to do much better than that as we apply the next generation of technology that will shape our lives – digital technology.

The market for Smart Cities, which many define as the application of digital technology to city systems, is growing. Entrepreneurial businesses such as Droplet and Shutl are delivering new city services, enabled by technology. City Councils, service providers and transport authorities are investing in Smart infrastructures, such as Bradford’s City Park, whose fountains and lights react to the movements of people through it. Our cities are becoming instrumented, interconnected and intelligent, creating new opportunities to improve the performance and efficiency of city systems.

But we are still making three mistakes that limit the scale at which truly innovative Smart City projects are being deployed.

1. We don’t use the right mix of skills to define Smart City initiatives

Over the last year, I’ve seen a much better understanding develop between some of the creative professions in the Smart Cities domain: technologists, design thinkers, social innovators, entrepreneurs and urban designers. Bristol’s “Hello Lamppost” is a good example of a project that uses technology to encourage playful interaction with an urban environment, thereby bringing the life to city streets that the urbanist Jane Jacobs‘ taught us is so fundamental to healthy city communities.

Internationally, cities have a great opportunity to learn from each others’ successes: smart, collective, sustainable urbanism in Scandinavia, as exemplified by Copenhagen’s Nordhavnen district; intelligent city planning and management in Asia and increasingly in the United States, where cities such as Chicago have also championed the open data movement; and the phenomenal level of small-scale, non-institutional innovation in communities in UK cities.

But this debate does not extend to some important institutions that are also beginning to explore how they can contribute towards the social and environmental wellbeing of cities and communities. Banks and investors, for example, who have the funds to support large-scale initiatives, or the skills to access them; or supermarkets and other retailers who operate across cities, nations and continents; but whose operational and economic footprint in cities is significant, and whose supply chains support or contribute to billions of lives.

It’s important to engage with these institutions in defining Smart City initiatives which not only cut across traditional silos of responsibility and budgets in cities, but also cut across the traditional asset classes and revenue streams that investors understand. A Smart City initiative that is crafted without their involvement will be difficult for them to understand, and they will be unlikely to support it. Instead, we need to craft Smart initiatives with them.

(The masterplan for Copenhagen’s regeneration of Nordhavnen, which was co-created with local residents and communities. Photo by Thomas Angermann)

2. We ask researchers to answer the wrong challenges

University research is a great source of new technologies for creating Smart solutions. But our challenge is rarely the availability of new technology – we have plenty of that already.

The real challenge is that we are not nearly exploiting the full potential of the technology already available to us; and that’s because in many cases we do not have a quantified evidence base for the financial, social, economic and environmental benefits of applying technology in city systems. Without that evidence, it’s hard to create a business case to justify investment.

This is the really valuable contribution that research could make to the Smart Cities market today: quantify the benefits of applying technology in city systems and communities; identify the factors that determine the degree to which those benefits can be realised in specific cities and communities; align the benefits to the financial and operating models of the public and private institutions that operate city services and assets; and provide the detailed data from which clear businesses cases with quantified risks and returns can be constructed.

3. We don’t listen to the quiet voices that matter

It’s my experience that the most powerful innovations that make a difference to real lives and communities occur when “little things” and “big things” work well together.

Challenges such as transport congestion, social mobility, responsible energy usage or small business growth are often extremely specific to local contexts. Successful change in those contexts is usually created when the people, community groups and businesses involved create, or co-create, initiatives to improve them.

But often, the resources available locally to those communities are very limited. How can the larger resources of institutional organisations be made available to them?

In “Resilience: why things bounce back“, Andrew Zolli describes many examples of initiatives that have successfully created meaningful change; and characterises the unusual qualities of the “translational leaders” that drive them – people who can engage with both small-scale, informal innovation in communities and large-scale, formal institutions with resources.

It’s my hope that we can enable more widespread changes not by relying only on such rare individuals, but by changing the way that we think about the design of city infrastructures. Rather than designing the services that they deliver, we should design what Service Scientists call the “affordances” they offer. An affordance is a capability of an infrastructure that can be adapted to the needs of an individual.

An example might be a smart grid power infrastructure that provides an open API allowing access to data from the grid. Developers, working together with community groups, could create schemes specific to each community which use that information to encourage more responsible energy usage. My colleagues in IBM Research explored this approach in partnership with the Sustainable Dubuque partnership resulting in a scheme that improved water and energy conservation in the city.

We can also apply this approach to the way that food is supplied to cities. The growing and distribution of food will always be primarily a large-scale, industrial operation: with 7 billion people living on a planet with limited resources, and with more than half of them living in dense cities, there is no realistic alternative. An important challenge for the food production and distribution industry, and for the technology industry, is to find ways to make those systems more efficient and sustainable.

But we can also act locally to change the way that food is processed, prepared and consumed; and in doing so create social capital and economic opportunity in some of the places that need it most. A good example is “Casserole Club“, which uses social media as the basis of a peer-to-peer model which connects people who are unable to cook for themselves with people who are willing to cook for, and visit, others.

These two movements to improve our food systems in innovative ways currently act separately; what new value could we create by bringing them together?

We’re very poor at communicating effectively between such large-scale and small-scale activities. Their cultures are different; they use different languages, and those involved spend their working lives in systems focussed on very different objectives.

There’s a very simple solution. We need to listen more than we talk.

We all have strong opinions and great ideas. And we’re all very capable of quickly identifying the aspects of someone else’s idea that mean it won’t work. For all of those reasons, we tend to talk more than we listen. That’s a mistake; it prevents us from being open to new ideas, and focussing our attention on how we can help them to succeed.

New conversations

By coincidence, I was asked earlier this year to arrange the agenda for the annual meeting of IBM’s UK chapter of our global Academy of Technology. The Academy represents around 500 of IBM’s technology leaders worldwide; and the UK chapter brings 70 or so of our highest achieving technologists together every year to share insights and experience about the technology trends that are most important to our industry, and to our customers.

(Daden's visualisation of the new Library of Birmingham, created before construction started and used to familiarise staff with the new building they would be working in. Taken from Daden's brochure describing the work more fully).

(Daden’s visualisation of the new Library of Birmingham, created before construction started and used to familiarise staff with the new building they would be working in. Taken from Daden’s brochure describing the work more fully).

This year, I’m bringing them to Innovation Birmingham for two days next week to explore how technology is changing Britain’s second city. We’ll be hearing about Birmingham City Council’s Smart City Strategy and Digital Birmingham‘s plans for digital infrastructure; and from research initiatives such as the University of Birmingham’s Liveable Cities programme; Aston University’s European Bio-Energy Research Institute; and Birmingham City University’s European Platform for Intelligent Cities.

But we’ll also be hearing from local SMEs and entrepreneurs creating innovations in city systems using technology, such as Droplet‘s smartphone payment system; 3D visualisation and analytics experts Daden, who created a simulation of Birmingham’s new Library; and Maverick Television whose innovations in using technology to create social value include the programmes Embarrassing Bodies and How to Look Good Naked. And we’ll hear from a number of social innovators, such as Localise West Midlands, a not-for-profit think-tank which promotes localisation for social, environmental and economic benefit, and Hub Launchpad, a business-accelerator for social enterprise who are building their presence in the city. You can follow our discussions next week on twitter through the hashtag #IBM_TCG.

This is just one of the ways I’m trying to make new connections and start new conversations between stakeholders in cities and professionals with the expertise to help them achieve their goals. I’m also arranging to meet some of the banks, retailers and supply-chain operators who seem to be most focussed on social and environmental sustainability, in order to explore how those objectives might align with the interests of the cities in which they operate. The British Standards Institute is undertaking a similar project to explore the financing of Smart Cities as part of their Smart Cities programme. I’m also looking at the examples set by cities such as Almere whose collaborative approach to urban design, augmented by their use of analytics and technology, is inspirational.

This will not be a quick or easy process; but it will involve exciting conversations between people with passion and expertise. Providing we remember to listen as much as we talk, it’s the right place to start.

Can Smarter City technology measure and improve our quality of life?

(Photo of Golden Gate Bridge, San Francisco, at night by David Yu)

Can information and technology measure and improve the quality of life in cities?

That seems a pretty fundamental question for the Smarter Cities movement to address. There is little point in us expending time and money on the application of technology to city systems unless we can answer it positively. It’s a question that I had the opportunity to explore with technologists and urbanists from around the world last week at the Urban Systems Collaborative meeting in London, on whose blog this article will also appear.

Before thinking about how we might approach such a challenging and complex issue, I’d like to use two examples to support my belief that we will eventually conclude that “yes, information and technology can improve the quality of life in cities.”

The first example, which came to my attention through Colin Harrison, who heads up the Urban Systems Collaborative, concerns public defibrillator devices – equipment that can be used to give an electric shock to the victim of a heart attack to restart their heart. Defibrillators are positioned in many public buildings and spaces. But who knows where they are and how to use them in the event that someone nearby suffers a heart attack?

To answer those questions, many cities now publish open data lists of the locations of publically-accessible Defibrillators. Consequently, SmartPhone apps now exist that can tell you where the nearest one to you is located. As cities begin to integrate these technologies with databases of qualified first-aiders and formal emergency response systems, it becomes more feasible that when someone suffers a heart attack in a public place, a nearby first-aider might be notified of the incidence and of the location of a nearby defibrillator, and be able to respond valuable minutes before the arrival of emergency services. So in this case, information and technology can increase the chancees of heart attack victims recovering.

(Why Smarter Cities matter: "Lives on the Line" by James Cheshire at UCL's Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

(Why Smarter Cities matter: “Lives on the Line” by James Cheshire at UCL’s Centre for Advanced Spatial Analysis, showing the variation in life expectancy across London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

In a more strategic scenario, the Centre for Advanced Spatial Analysis (CASA) at University College London have mapped life expectancy at birth across London. Life expectancy across the city varies from 75 to 96 years, and CASA’s researchers were able to correlate it with a variety of other issues such as child poverty.

Life expectancy varies by 10 or 20 years in many cities in the developed world; analysing its relationship to other economic, demographic, social and spatial information can provide insight into where money should be spent on providing services that address the issues leading to it, and that determine quality of life. The UK Technology Strategy Board cited Glasgow’s focus on this challenge as one of their reasons for investing £24 million in Glasgow’s Future Cities Demonstrator project – life expectancy at birth for male babies in Glasgow varies by 26 years between the poorest and wealthiest areas of the city.

These examples clearly show that in principle urban data and technology can contribute to improving quality of life in cities; but they don’t explain how to do so systematically across the very many aspects of quality of life and city systems, and between the great variety of urban environments and cultures throughout the world. How could we begin to do that?

Deconstructing “quality of life”

We must first think more clearly about what we mean by “quality of life”. There are many needs, values and outcomes that contribute to quality of life and its perception. Maslow’s “Hierarchy of Needs” is a well-researched framework for considering them. We can use this as a tool for considering whether urban data can inform us about, and help us to change, the ability of a city to create quality of life for its inhabitants.

(Maslow’s Hierarchy of Needs, image by Factoryjoe via Wikimedia Commons)

But whilst Maslow’s hierarchy tells us about the various aspects that comprise the overall quality of life, it only tells us about our relationship with them in a very general sense. Our perception of quality of life, and what creates it for us, is highly variable and depends on (at least) some of the following factors:

  • Individual lifestyle preferences
  • Age
  • Culture and ethnicity
  • Social standing
  • Family status
  • Sexuality
  • Gender
  • … and so on.

Any analysis of the relationship between quality of life, urban data and technology must take this variability into account; either by allowing for it in the analytic approach; or by enabling individuals and communities to customise the use of data to their specific needs and context.

Stress and Adaptability

Two qualities of urban systems and life within them that can help us to understand how urban data of different forms might relate to Maslow’s hierarchy of needs and individual perspectives on it are stress and adaptability.

Jurij Paraszczak, IBM’s Director of Research for Smarter Cities, suggested that one way to improve quality of life is to reduce stress. A city with efficient, well integrated services – such as transport; availability of business permits etc. – will likely cause less stress, and offer a higher quality of life, than a city whose services are disjointed and inefficient.

One cause of stress is the need to change. The Physicist Geoffrey West is one of many scientists who has explored the roles of technology and population growth in speeding up city systems; as our world changes more and more quickly, our cities will need to become more agile and adaptable – technologists, town planners and economists all seem to agree on this point.

The architect Kelvin Campbell has explored how urban environments can support adaptability by enabling actors within them to innovate with the resources available to them (streets, buildings, spaces, technology) in response to changes in local and global context – changes in the economy of cultural trends, for example.

Service scientists” analyse the adaptability of systems (such as cities) by considering the “affordances” they offer to actors within them. An “affordance” is a capability within a system that is not exercised until an actor chooses to exercise it in order to create value that is specific to them, and specific to the time, place and context within which they act.

An “affordance” might be the ability to start a temporary business or “pop-up” shop within a disused building by exploiting a temporary exemption from planning controls. Or it might be the ability to access open city data and use it as the basis of new information-based business services. (I explored some ideas from science, technology, economics and urbanism for creating adaptability in cities in an article in March this year).

(Photo by lecercle of a girl in Mumbai doing her homework on whatever flat surface she could find. Her use of a stationary tool usually employed for physical mobility to enhance her own social mobility is an example of the very basic capacity we all have to use the resources available to us in innovative ways)

Stress and adaptability are linked. The more personal effort that city residents must exert in order to adapt to changing circumstances (i.e. the less that a city offers them useful affordances), then the more stress they will be subjected to.

Stress; rates of change; levels of effort and cost exerted on various activities: these are all things that can be measured.

Urban data and quality of life in the district high street

In order to explore these ideas in more depth, our discussion at the Urban Systems Collaborative meeting explored a specific scenario systematically. We considered a number of candidate scenarios – from a vast city such as New York, with a vibrant economy but affected by issues such as flood risk; through urban parks and property developments down to the scale of an individual building such as a school or hospital.

We chose to start with a scenario in the middle of that scale range that is the subject of particularly intense debate in economics, policy and urban design: a mixed-demographic city district with a retail centre at its heart spatially, socially and economically.

We imagined a district with a population of around 50,000 to 100,000 people within a larger urban area; with an economy including the retail, service and manufacturing sectors. The retail centre is surviving with some new businesses starting; but also with some vacant property; and with a mixture of national chains, independent specialist stores, pawnshops, cafes, payday lenders, pubs and betting shops. We imagined that local housing stock would support many levels of wealth from benefits-dependent individuals and families through to millionaire business owners. A district similar to Kings Heath in Birmingham, where I live, and whose retail economy was recently the subject of an article in the Economist magazine.

We asked ourselves what data might be available in such an environment; and how it might offer insight into the elements of Maslow’s hierarchy.

We began by considering the first level of Maslow’s hierarchy, our physiological needs; and in particular the availability of food. Clearly, food is a basic survival need; but the availability of food of different types – and our individual and cultural propensity to consume them – also contributes to wider issues of health and wellbeing.

(York Road, Kings Heath, in the 2009 Kings Heath Festival. Photo by Nick Lockey)

Information about food provision, consumption and processing can also give insights into economic and social issues. For example, the Economist reported in 2011 that since the 2008 financial crash, some jobs lost in professional service industries such as finance in the UK had been replaced by jobs created in independent artisan industries such as food. Evidence of growth in independent businesses in artisan and craft-related sectors in a city area may therefore indicate the early stages of its recovery from economic shock.

Similarly, when a significant wave of immigration from a new cultural or ethnic group takes place in an area, then it tends to result in the creation of new, independent food businesses catering to preferences that aren’t met by existing providers. So a measure of diversity in food supply can be an indicator of economic and social growth.

So by considering a need that Maslow’s hierarchy places at the most basic level, we were able to identify data that describes an urban area’s ability to support that need – for example, the “Enjoy Kings Heath” website provides information about local food businesses; and furthermore, we identified ways that the same data related to needs throughout the other levels of Maslow’s hierarchy.

We next considered how economic flows within and outside an area can indicate not just local levels of economic activity; but also the area’s trading surplus or deficit. Relevant information in principle exists in the form of the accounts and business reports of businesses. Initiatives such as local currencies and loyalty schemes attempt to maximise local synergies by minimising the flow of money out of local economies; and where they exploit technology platforms such as Droplet’s SmartPhone payments service, which operates in London and Birmingham, the money flows within local economies can be measured.

These money flows have effects that go beyond the simple value of assets and property within an area. Peckham high street in London has unusually high levels of money flow in and out of its economy due to a high degree of import / export businesses; and to local residents transferring money to relatives overseas. This flow of money makes business rents in the area disproportionally high  compared to the value of local assets.

Our debate also touched on environmental quality and transport. Data about environmental quality is increasingly available from sensors that measure water and air quality and the performance of sewage systems. These clearly contribute insights that are relevant to public health. Transport data provides perhaps more subtle insights. It can provide insight into economic activity; productivity (traffic jams waste time); environmental impact; and social mobility.

My colleagues in IBM Research have recently used anonymised data from GPS sensors in SmartPhones to analyse movement patterns in cities such as Abidjan and Istanbul on behalf of their governments and transport authorities; and to compare those movement patterns with public transport services such as bus routes. When such data is used to alter public transport services so that they better match the end-to-end journey requirements of citizens, an enormous range of individual, social, environmental and economic benefits are realised.

(The origins and destinations of end-to-end journeys made in Abidjan, identified from anonymised SmartPhone GPS data)

(The origins and destinations of end-to-end journeys made in Abidjan, identified from anonymised SmartPhone GPS data)

Finally, we considered data sources and aspects of quality of life relating to what Maslow called “self-actualisation”: the ability of people within the urban environment of our scenario to create lifestyles and careers that are individually fulfilling and that reward creative self-expression. Whilst not direct, measurements of the registration of patents, or of the formation and survival of businesses in sectors such as construction, technology, arts and artisan crafts, relate to those values in some way.

In summary, the exercise showed that a great variety of data is available that relates to the ability of an urban environment to provide Maslow’s hierarchy of needs to people within it. To gain a fuller picture, of course, we would need to repeat the exercise with many other urban contexts at every scale from a single building up to the national, international and geographic context within which the city exists. But this seems a positive start.

Recognising the challenge

Of course, it is far from straightforward to convert these basic ideas and observations into usable techniques for deriving insight and value concerning quality of life from urban data.

What about the things that are extremely hard to measure but which are often vital to quality of life – for example the cash economy? Physical cash is notoriously hard to trace and monitor; and arguably it is particularly important to the lives of many individuals and communities who have the most significant quality of life challenges; and to those who are responsible for some of the activities that detract from quality of life – burglary, mugging and the supply of narcotics, for example.

The Urban Systems Collaborative’s debate also touched briefly on the question of whether we can more directly measure the outcomes that people care about – happiness, prosperity, the ability to provide for our families, for example. Antti Poikola has written an article on his blog, “Vital signs for measuring the quality of life in cities“, based on the presentation on that topic by Samir Menon of Tata Consulting Services. Samir identified a number of “happiness indices” that have been proposed by the UK Prime Minister, David Cameron, the European Quality of Life Survey, the OECD’s Better Life Index, and the Social Progress Index created by economist Michael Porter. Those indices generally attempt to correlate a number of different quantitative indicators with qualitative information from surveys into an overall score. Their accuracy and usefulness is the subject of contentious debate.

As an alternative, Michael Mezey of the Royal Society for the Arts recently collected descriptions of attempts to measure happiness more directly by identifying the location of issues or events associated with positive or negative emotions – such as parks and pavements fouled by dog litter or displays of emotion in public. It’s fair to say that the results of these approaches are very subjective and selective so far, but it will be interesting to observe what progress is made.

There is also a need to balance our efforts between creating value from the data that is available to us – which is surely a resource that we should exploit – with making sure that we focus our efforts on addressing our most important challenges, whether or not data relevant to them is easily accessible.

And in practise, a great deal of the data that describes cities is still not very accessible or useful. Most of it exists within IT systems that were designed for a specific purpose – for example, to allow building owners to manage the maintenance of their property. Those systems may not be very good at providing data in a way that is useful for new purposes – for example, identifying whether a door is connected to a pavement by a ramp or by steps, and hence how easy it is for a wheelchair user to enter a building.

(Photo by Closed 24/7 of the Jaguar XF whose designers used “big data” analytics to optimise the emotional response of potential customers and drivers)

Generally speaking, transforming data that is useful for a specific purpose into data that is generally useful takes time, effort and expertise – and costs money. We may desire city data to be tidied up and made more readily accessible; just as we may desire a disused factory to be converted into useful premises for shops and small businesses. But securing the investment required to do so is often difficult – this is why open city data is a “brownfield regeneration” challenge for the information age.

We don’t yet have a general model for addressing that challenge, because the socio-economic model for urban data has not been defined. Who owns it? What does it cost to create? What uses of it are acceptable? When is it proper to profit from data?

Whilst in principle the data available to us, and our ability to derive insight and knowledge from it, will continue to grow, our ability to benefit from it in practise will be determined by these crucial ethical, legal and economic issues.

There are also more technical challenges. As any mathematician or scientist in a numerate discipline knows, data, information and analysis models have significant limitations.

Any measurement has an inherent uncertainty. Location information derived from Smartphones is usually accurate to within a few meters when GPS services are available, for example; but only to within a few hundred meters when derived by triangulation between mobile transmission masts. That level of inaccuracy is tolerable if you want to know which city you are in; but not if you need to know where the nearest defibrilator is.

These limitations arise both from the practical limitations of measurement technology; and from fundamental scientific principles that determine the performance of measurement techniques.

We live in a “warm” world – roughly 300 degrees Celsius above what scientists call “absolute zero“, the coldest temperature possible. Warmth is created by heat energy; that energy makes the atoms from which we and our world are made “jiggle about” – to move randomly. When we touch a hot object and feel pain it is because this movement is too violent to bear – it’s like being pricked by billions of tiny pins. This random movement creates “noise” in every physical system, like the static we hear in analogue radio stations or on poor quality telephone lines.

And if we attempt to measure the movements of the individual atoms that make up that noise, we enter the strange world of quantum mechanics in which Heisenberg’s Uncertainty Principle states that the act of measuring such small objects changes them in unpredictable ways. It’s hardly a precise analogy, but imagine trying to measure how hard the surface of a jelly is by hitting it with a hammer. You’d get an idea of the jelly’s hardness by doing so, but after the act of “measurement” you wouldn’t be left with the same jelly. And before the measurement you wouldn’t be able to predict the shape of the jelly afterwards.

(A graph from my PhD thesis showing experimental data plotted against the predictions of an analytic. Notice that whilst the theoretical prediction (the smooth line) is a good guide to the experimental data, that each actual data point lies above or below the line, not on it. In addition, each data point has a vertical bar expressing the level of uncertainty involved in its measurement. In most circumstances, data is uncertain and theory is only a rough guide to reality.)

Even if our measurements were perfect, our ability to understand what they are telling us is not. We draw insight into the behaviour of a real system by comparing measurements of it to a theoretical model of its behaviour. Weather forecasters predict the weather by comparing real data about temperature, air pressure, humidity and rainfall to sophisticated models of weather systems; but, as the famous British preoccupation with talking about the weather illustrates, their predictions are frequently inaccurate. Quite simply this is because the weather system of our world is more complicated than the models that weather forecasters are able to describe using mathematics; and process using today’s computers.

This may all seem very academic; and indeed it is – these are subjects that I studied for my PhD in Physics. But all scientists, mathematicians and engineers understand them; and whether our work involves city systems, motor cars, televisions, information technology, medicine or human behaviour, when we work with data, information and analysis technology we are very much aware and respectful of their limitations.

Most real systems are more complicated than the theoretical models that we are able to construct and analyse. That is especially true of any system that includes the behaviour of people – in other words, the vast majority of city systems. Despite the best efforts of psychology, social science and artificial intelligence we still do not have an analytic model of human behaviour.

For open data and Smarter Cities to succeed, we need to openly recognise these challenges. Data and technology can add immense value to city systems – for instance, IBM’s “Deep Thunder” technology creates impressively accurate short-term and short-range predictions of weather-related events such as flash-flooding that have the potential to save lives. But those predictions, and any other result of data-based analysis, have limitations; and are associated with caveats and constraints.

It is only by considering the capabilities and limitations of such techniques together that we can make good decisions about how to use them – for example, whether to trust our lives to the automated analytics and control systems involved in anti-lock braking systems, as the vast majority of us do every time we travel by road; or whether to use data and technology only to provide input into a human process of consideration and decision-making – as takes place in Rio when city agency staff consider Deep Thunder’s predictions alongside other data and use their own experience and that of their colleagues in determining how to respond.

In current discussions of the role of technology in the future of cities, we risk creating a divide between “soft” disciplines that deal with qualitative, subjective matters – social science and the arts for example; and “hard” disciplines that deal with data and technology – such as science, engineering, mathematics.

In the most polarised debates, opinion from “soft” disciplines is that “Smart cities” is a technology-driven approach that does not take human needs and nature into account, and does not recognise the variability and uncertainty inherent in city systems; and opinion from “hard” disciplines is that operational, design and policy decisions in cities are taken without due consideration of data that can be used to inform them and predict their outcomes. As Stephan Shakespeare wrote in the “Shakespeare Review of Public Sector Information“, “To paraphrase the great retailer Sir Terry Leahy, to run an enterprise without data is like driving by night with no headlights. And yet that is what government often does.”

There is no reason why these positions cannot be reconciled. In some domains “soft” and “hard” disciplines regularly collaborate. For example, the interior and auditory design of the Jaguar XF car, first manufactured in 2008, was designed by re-creating the driving experience in a simulator at the University of Warwick, and analysing the emotional response of test subjects using physiological sensors and data. Such techniques are now routinely used in product design. And many individuals have a breadth of knowledge that extends far beyond their core profession into a variety of areas of science and the arts.

But achieving reconciliation between all of the stakeholders involved in the vastly complex domain of cities – including the people who live in them, not just the academics, professionals and politicians who study, design, engineer and govern them – will not happen by default. It will only happen if we have an open and constructive debate about the capabilities and the limitations of data, information and technology; and if we are then able to communicate them in a way that expresses to everyone why Smarter City systems will improve their quality of life.

(“Which way to go?” by Peter Roome)

What’s next?
It’s astonishing and encouraging that we could use a model of individual consciousness to navigate the availability and value of data in the massively collective context of an urban scenario. To continue developing an understanding of the ability of information and technology to contribute to quality of life within cities, we need to expand that approach to explore the other dimensions we identified that affect perceptions of quality of life: culture, age and family status, for example; and within both larger and smaller scales of city context than the “district” scenario that we started with.

And we need to compare that approach to existing research work such as the Liveable Cities research collaboration between UK Universities that is establishing an evidence-based technique for assessing wellbeing; or the IBM Research initiative “SCRIBE” which seeks to define the meaning of and relationships between the many types of data that describe cities.

As a next step, the Urban Systems Collaborative attendees suggested that it would be useful to consider how people in different circumstances in cities use data, information and technology to take decisions:  for example, city leaders, businesspeople, parents, hostel residents, commuters, hospital patients and so forth across the incredible variety of roles that we play in cities. You can find out more about how the Collaborative is taking this agenda forward on their website.

But this is not a debate that belongs only within the academic community or with technologists and scientists. Information and technology are changing the cities, society and economy that we live in and depend on. But that information results from data that in large part is created by all of our actions and activities as individuals, as we carry out our lives in cities, interacting with systems that from a technology perspective are increasingly instrumented, interconnected and intelligent. We are the ultimate stakeholders in the information economy, and we should seek to establish an equitable consensus for how our data is used; and that consensus should include an understanding and acceptance between all parties of both the capabilities and limitations of information and technology.

I’ve written before about the importance of telling stories that illustrate ways in which technology and information can change lives and communities for the better. The Community Lovers’ Guide to Birmingham is a great example of doing this. As cities such as Birmingham, Dublin and Chicago demonstrate what can be achieved by following a Smarter City agenda, I’m hoping that those involved can tell stories that will help other cities across the world to pursue these ideas themselves.

(This article summarises a discussion I chaired this week to explore the relationship between urban data, technology and quality of life at the Urban Systems Collaborative’s London workshop, organised by my ex-colleague, Colin Harrison, previously an IBM Distinguished Engineer responsible for much of our Smarter Cities strategy; and my current colleague, Jurij Paraszczak, Director of Industry Solutions and Smarter Cities for IBM ResearchI’m grateful for the contributions of all of the attendees who took part. The article also appears on the Urban Systems Collaborative’s blog).

Seven steps to a Smarter City; and the imperative for taking them (updated 8th September 2013)

(Interior of the new Library of Birmingham, opened in September 2013. Photo by Andy Mabbett)

(Interior of the new Library of Birmingham, opened in September 2013. Photo by Andy Mabbett licensed under Creative Commons via Wikimedia Commons)

(This article originally appeared in September 2012 as “Five steps to a Smarter City: and the philosophical imperative for taking them“. Because it contains an overall framework for approaching Smart City transformations, I keep it updated to reflect the latest content on this blog; and ongoing developments in the industry. It can also be accessed through the page link “Seven steps to a Smarter City” in the navigation bar above).

As I’ve worked with cities over the past two years developing their “Smarter City” strategies and programmes  to deliver them, I’ve frequently written articles on this blog exploring the main challenges they’ve faced: establishing a cross-city consensus to act; securing funding; and finding the common ground between the institutional and organic natures of city ecosystems.

We’ve moved beyond exploration now. There are enough examples of cities making progress on the “Smart” agenda for us to identify  the common traits that lead to success. I first wrote “Five steps to a Smarter City: and the philosophical imperative for taking them” in September 2012 to capture what at the time seemed to be emerging practises with promising potential, and have updated it twice since then. A year later, it’s time for a third and more confident revision.

In the past few months it’s also become clear that an additional step is required to recognise the need for new policy frameworks to enable the emergence of Smarter City characteristics, to complement the direct actions and initiatives that can be taken by city institutions, businesses and communities.

The revised seven steps involved in creating and achieving a Smarter City vision are:

  1. Define what a “Smarter City” means to you (Updated)
  2. Convene a stakeholder group to co-create a specific Smarter City vision; and establish governance and a credible decision-making process (Updated)
  3. Structure your approach to a Smart City by drawing on the available resources and expertise (Updated)
  4. Establish the policy framework (New)
  5. Populate a roadmap that can deliver the vision (Updated)
  6. Put the financing in place (Updated)
  7. Enable communities and engage with informality: how to make “Smarter” a self-sustaining process (Updated)

I’ll close the article with a commentary on a new form of leadership that can be observed at the heart of many of the individual initiatives and city-wide programmes that are making the most progress. Described by Andrew Zolli in “Resilience: why things bounce back” as “translational leadership“, it is characterised by an ability to build unusually broad collaborative networks across the institutions and communities – both formal and informal – of a city.

But I’ll begin with what used to be the ending to this article: why Smarter Cities matter. Unless we’re agreed on the need for them, it’s unlikely we’ll take the steps required to achieve them.

The Smarter City imperative

(Why Smarter Cities matter: "Lives on the Line" by James Cheshire at UCL's Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

(Why Smarter Cities matter: “Lives on the Line” by James Cheshire at UCL’s Centre for Advanced Spatial Analysis, showing the variation in life expectancy across London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

I think it’s vitally important to take a pro-active approach to Smarter Cities.

According to the United Nations Department of Economic and Social Affairs’ 2011 revision to their “World Urbanisation Prospects” report, between now and 2050 the world’s population will rise by 2-3 billion. The greatest part of that rise will be accounted for by the growth of Asian, African and South American “megacities” with populations of between 1 and 35 million people.

As a crude generalisation, this unprecedented growth offers four challenges to cities in different circumstances:

  • For rapidly growing cities: we have never before engineered urban infrastructures to support such growth. Whenever we’ve tried to accommodate rapid urban growth before, we’ve failed to provide adequate infrastructure, resulting in slums. One theme within Smarter Cities is therefore the attempt to use technology to respond more successfully to this rapid urbanisation.
  • For cities in developed economies with slower growth: urbanisation in rapidly growing economies is creating an enormous rise in the size of the world’s middle-class, magnifying global growth in demand for resources such as energy, water, food and materials; and creating new competition for economic activity. So a second theme of Smarter Cities that applies in mature economies is to remain vibrant economically and socially in this context, and to improve the distribution of wealth and opportunity, against a background of modest economic growth, ageing populations with increasing service needs, legacy infrastructure and a complex model of governance and operation of city services.
  • For cities in countries that are still developing slowly: increasing levels of wealth and economic growth elsewhere  create an even tougher hurdle than before in creating opportunity and prosperity for the populations of those countries not yet on the path to growth. At the same time that economists and international development organisations attempt to ensure that these nations benefit from their natural resources as they are sought by growing economies elsewhere, a third strand of Smarter Cities is concerned with supporting wider growth in their economies despite a generally low level of infrastructure, including technology infrastructure.
(Photo of Masshouse Circus, Birmingham, a concrete urban expressway that strangled the citycentre before its redevelopment in 2003, by Birmingham City Council)

(Photo of Masshouse Circus, Birmingham, a concrete urban expressway that strangled the citycentre before its redevelopment in 2003, by Birmingham City Council)

We have only been partly successful in meeting these challenges in the past. As public and private sector institutions in Europe and the United States evolved through the previous period of urbanisation driven by the Industrial Revolution they achieved mixed results: standards of living rose dramatically; but so unequally that life expectancy between the richest and poorest areas of a single UK city often varies by 10 to 20 years.

In the sense that city services and businesses will always seek to exploit the technologies available to them, our cities will become smarter eventually as an inevitable consequence of the evolution of technology and growing competition for resources and economic activity.

But if those forces are allowed to drive the evolution of our cities, rather than supporting a direction of evolution that is proactively chosen by city stakeholders, then we will not solve many of the challenges that we care about most: improving the distribution of wealth and opportunity, and creating a better, sustainable quality of life for everyone. As I argued in “Smarter City myths and misconceptions“, “business as usual” will not deliver what we want and need – we need new approaches.

I do not pretend that it will be straightforward to apply our newest tool – digital technology – to achieve those objectives. In “Death, Life and Place in Great Digital Cities“, I explored the potential for unintended consequences when applying technology in cities, and compared them to the ongoing challenge of balancing the impacts and benefits of the previous generations of technology that shaped the cities we live in today – elevators, concrete and the internal combustion engine. Those technologies enabled the last century of growth; but in some cases have created brutal and inhumane urban environments which limit the quality of life that is possible within them.

But there are nevertheless many ways for cities in every circumstance imaginable to benefit from Smarter City ideas, as I described in my presentation earlier this year to the United Nations Commission on Science and Technology for Development, “Science, technology and innovation for sustainable cities and peri-urban communities“.

The first step in doing so is for each city and community to decide what “Smarter Cities “means to them.

Singapore Traffic Prediction

(A prediction of traffic speed and volume 30 minutes into the future in Singapore. In a city with a growing economy and a shortage of space, the use of technology to enable an efficient transportation system has long been a priority)

1. Define what a “Smarter City” means to you

Many urbanists and cities have grappled with how to define what a “Smart City”, a “Smarter City” or a “Future City” might be. It’s important for cities to agree to use an appropriate definition because it sets the scope and focus for what will be a complex collective journey of transformation.

In his article “The Top 10 Smart Cities On The Planet“, Boyd Cohen of Fast Company defined a Smart City as follows:

“Smart cities use information and communication technologies (ICT) to be more intelligent and efficient in the use of resources, resulting in cost and energy savings, improved service delivery and quality of life, and reduced environmental footprint–all supporting innovation and the low-carbon economy.”

IBM describes a Smarter City in similar terms, more specifically stating that the role of technology is to create systems that are “instrumented, interconnected and intelligent.”

Those definitions are useful; but they don’t reflect the different situations of cities everywhere, which are only very crudely described by the four contexts I identified above. We should not be critical of any of the general definitions of Smarter Cities; they are useful in identifying the nature and scope of powerful ideas that could have widespread benefits. But a broad definition will never provide a credible direction for any individual city given the complexities of its challenges, opportunities, context and capabilities.

Additionally, definitions of “Smarter Cities” that are based on relatively advanced technology concepts don’t reflect the origins of the term “Smart” as recognised by the social scientists I met with in July at a workshop at the University of Durham.  The “Smart” idea is more than a decade old, and emerged from the innovative use of relatively basic digital technologies to stimulate economic growth, community vitality and urban renewal.

As I unifying approach, I’ve therefore come recently to conceive of a Smarter City as follows:

A Smarter City systematically creates and encourages innovations in city systems that are enabled by technology; that change the relationships between the creation of economic and social value and the consumption of resources; and that contribute in a coordinated way to achieving a vision and clear objectives that are supported by a consensus amongst city stakeholders.

In co-creating a consensual approach to “Smarter Cities” in any particular place, it’s important to embrace the richness and variety of the field. Many people are very sceptical of the idea of Smarter Cities; often I find that their scepticism arises from the perception that proponents of Smarter Cities are intent on applying the same ideas everywhere, regardless of their suitability, as I described in Smarter City myths and misconceptions” in July.

For example, highly intelligent, multi-modal transport infrastructures are vital in cities such as Singapore, where a rapidly growing economy has created an increased demand for transport; but where there is no space to build new road capacity. But they are much less relevant – at least in the short term – for cities such as Sunderland where the priority is to provide better access to digital technology to encourage the formation and growth of new businesses in high-value sectors of the economy. Every city, individual or organisation that I know of that is successfully pursuing a Smarter City initiative or strategy recognises and engages with that diversity,

Creating a specific Smarter City vision is therefore a task for each city to undertake for itself, taking into account its unique character, strengths and priorities. This process usually entails a collaborative act of creativity by city stakeholders – I’ll explore how that takes place in the next section.

To conclude, it’s likely that the following generic objectives should be considered and adapted in that process:

  • A Smarter City is in a position to make a success of the present: for example, it is economically active in high-value industry sectors and able to provide the workforce and infrastructure that companies in those sectors need.
  • A Smarter City is on course for a successful future: with an education system that provides the skills that will be needed by future industries as technology evolves.
  • A Smarter City creates sustainable, equitably distributed growth: where education and employment opportunities are widely available to all citizens and communities, and with a focus on delivering social and environmental outcomes as well as economic growth.
  • A Smarter City operates as efficiently & intelligently as possible: so that resources such as energy, transportation systems and water are used optimally, providing a low-cost, low-carbon basis for economic and social growth, and an attractive, healthy environment in which to live and work.
  • A Smarter City enables citizens, communities, entrepreneurs & businesses to do their best; because making infrastructures Smarter is an engineering challenge; but making cities Smarter is a societal challenge; and those best placed to understand how societies can change are those who can innovate within them.
  • A Smarter City harnesses technology effectively and makes it accessible; because technology continues to define the new infrastructures that are required to achieve efficiencies in operation; and to enable economic and social growth.

2. Convene a stakeholder group to co-create a specific Smarter City vision

For a city to agree a shared “Smarter City” vision involves bringing an unusual set of stakeholders together in a single forum: political leaders, community leaders, major employers, transport and utility providers, entrepreneurs and SMEs, universities and faith groups, for example. The task for these stakeholders is to agree a vision that is compelling, inclusive; and specific enough to drive the creation of a roadmap of individual projects and initiatives to move the city forward.

It’s crucial that this vision is co-created by a group of stakeholders; as a city leader commented to me last year: “One party can’t bring the vision to the table and expect everyone else to buy into it”.

This is a process that I’m proud to be taking part in in Birmingham through the City’s Smart City Commission, whose vision for the city was published in December. I discussed how such processes can work, and some of the challenges and activities involved, in July 2012 in an article entitled “How Smarter Cities Get Started“.

To be sufficiently creative, empowered and inclusive, the group of stakeholders needs to encompass not only the leaders of key city institutions and representatives of its breadth of communities; it needs to contain original thinkers; social entrepreneurs and agents of change. As someone commented to me recently following a successful meeting of such a group: “this isn’t a ‘usual’ group of people”. In a similar meeting this week, a colleague likened the process of assembling such a group to that of building the Board of a new company.

To attract the various forms of investment that are required to support a programme of “Smart” initiatives, these stakeholder groups need to be decision-making entities, such as Manchester’s “New Economy” Commission, not discussion forums.  They need to take investment decisions together in the interest of shared objectives; and they need a mature understanding and agreement of how risk is shared and managed across those investments.

Whatever specific form a local partnership takes, it needs to demonstrate transparency and consistency in its decision-making and risk management, in order that its initiatives and proposals are attractive to investors. These characteristics are straightforward in themselves; but take time to establish amongst a new group of stakeholders taking a new, collaborative approach to the management of a programme of transformation.

Finally, to create and execute a vision that can succeed, the group needs to tell stories. A Smarter City encompasses all of a city’s systems, communities and businesses; the leaders in that ecosystem can only act with the support of their shareholders, voters, citizens, employees and neighbours. We will only appeal to such a broad constituency by telling simple stories that everyone can understand. I discussed some of the reasons that lead to this in “Better stories for Smarter Cities: three trends in urbanism that will reshape our world” in January and “Little/big; producer/consumer; and the story of the Smarter City” in March. Both articles cover similar ground; and were written as I prepared for my TEDxWarwick presentation, “Better Stories for Smarter Cities”, also in March.

The article “Smart ideas for everyday cities” from December 2012 discusses all of these challenges, and examples of groups that have addressed them, in more detail.

3. Structure your approach to a Smart City by drawing on the available resources and expertise

Any holistic approach to a Smarter City needs to recognise the immensely complex context that a city represents: a rich “system of systems” comprising the physical environment, economy, transport and utility systems, communities, education and many other services, systems and human activities.

(The components of a Smart City architecture I described in “The new architecture of Smart Cities“)

In “The new architecture of Smart Cities” in September 2012 I laid out a framework  for thinking about that context; in particular highlighting the need to focus on the “soft infrastructure” of conversations, trust, relationships and engagement between people, communities, enterprises and institutions that is fundamental to establishing a consensual view of the future of a city.

In that article  I also asserted that whilst in Smarter Cities we are often concerned with the application of technology to city systems, the context in which we do so – i.e. our understanding of the city as a whole – is the same context as that in which other urban professionals operate: architects, town planners and policy-makers, for example. An implication is that when looking for expertise to inform an approach to “Smarter Cities”, we should look broadly across the field of urbanism, and not restrict ourselves to that material which pertains specifically to the application of technology to cities.

Formal sources include:

  • UN-HABITAT, the United Nations agency for human settlements, which recently published its “State of the World’s Cities 2012/2013” report. UNHABITAT promote socially and environmentally sustainable towns and cities, and their reports and statistics on urbanisation are frequently cited as authoritative. Their 2012/2013 report includes extensive consultation with cities around the world, and proposes a number of new mechanisms intended to assist decision-makers.
  • The Academy of Urbanism, a UK-based not-for-profit association of several hundred urbanists including policy-makers, architects, planners and academics, publishes the “Friebrug Charter for Sustainable Urbanism” in collaboration with the city of Frieburg, Germany. Frieburg won the Academy’s European City of the Year award in 2010 but its history of recognition as a sustainable city goes back further. The charter contains a number of useful principles and ideas for achieving consensual sustainability that can be applied to Smarter Cities.
  • The UK Technology Strategy Board’s “Future Cities” programme (link requires registration) and the ongoing EU investments in Smart Cities are both investing in initiatives that transfer Smarter City ideas and technology from research into practise, and disseminating the knowledge created in doing so.

(Photo by lecercle of a girl in Mumbai doing her homework on whatever flat surface she could find. Her use of a stationary tool usually employed for physical mobility to enhance her own social mobility is an example of the very basic capacity we all have to use the resources available to us in innovative ways)

It is also important to consider how change is achieved in systems as complex as cities. In “Do we need a Pattern Language for Smarter Cities” I noted some of the challenges involve in driving top-down programmes of change; and contrasted them to what can happen when an environment is created that encourages innovation and attempts to influence it to achieve desired outcomes, rather than to adopt particular approaches to doing so. And in “Zen and the art of messy urbanism” I explored the importance of unplanned, informal and highly creative “grass-roots” activity in creating growth in cities, particularly where resources and finances are constrained.

Some very interesting such approaches have emerged from thinking in policy, economics, planning and architecture: the Collective Research Initiatives Trust‘s study of Mumbai, “Being Nicely Messy“; Colin Rowe and Fred Koetter’s “Collage City“; Manu Fernandez’s “Human Scale Cities” project; and the “Massive / Small” concept and associated “Urban Operating System” from Kelvin Campbell and Urban Initiatives, for example have all suggested an approach that involves a “toolkit” of ideas for individuals and organisations to apply in their local context.

The “tools” in such toolkits are similar to the “design patterns“ invented by the town planner Christopher Alexander in the 1970s as a tool for capturing re-usable experience in town planning, and later adopted by the Software industry. I believe they offer a useful way to organise our knowledge of successful approaches to “Smarter Cities”, and am slowly creating a catalogue of them, including the “City information partnership” and “City-centre enterprise incubation“.

A good balance between the top-down and bottom-up approaches can be found in the large number of “Smart Cities” and “Future Cities” communities on the web, such as UBM’s “Future Cities” site; Next City; the Sustainable Cities Collective; the World Cities Network; and Linked-In discussion Groups including “Smart Cities and City 2.0“, “Smarter Cities” and “Smart Urbanism“.

Finally, I published an extensive article on this blog in December 2012 which provided a framework for identifying the technology components required to support Smart City initiatives of different kinds – “Pens, paper and conversations. And the other technologies that will make cities smarter“.

4. Establish the policy framework

The influential urbanist Jane Jacobs wrote in her seminal 1961 work ”The Death and Life of Great American Cities“:

“Private investment shapes cities, but social ideas (and laws) shape private investment. First comes the image of what we want, then the machinery is adapted to turn out that image. The financial machinery has been adjusted to create anti-city images because, and only because, we as a society thought this would be good for us. If and when we think that lively, diversified city, capable of continual, close- grained improvement and change, is desirable, then we will adjust the financial machinery to get that.”

Jacobs’ was concerned with redressing the focus of urban design away from vehicle traffic and back to meeting the daily requirements of human lives; but today, it is similarly true that our planning and procurement practises do not recognise the value of the Smart City vision, and therefore are not shaping the financial instruments to deliver it. This is not because those practises are at fault; it is because technologists, urbanists, architects, procurement officers, policy-makers and planners need to work together to evolve those practises to take account of the new possibilities available to cities through technology.

It’s vitally important that we do this. As I described in November 2012 in “No-one is going to pay cities to become Smarter“, the sources of research and innovation funding that are supprting the first examples of Smarter City initiatives will not finance the widespread transformation of cities everywhere. But there’s no need for them to: the British Property Federation, for example, estimate that £14 billion is invested in the development of new space in the UK each year – that’s 500 times the annual value of the UK Government’s Urban Broadband Fund. If planning regulations and other policies can be adapted to promote investment in the technology infrastructures that support Smarter Cities, the effect could be enormous.

I ran a workshop titled “Can digital technology help us build better cities?” to explore these themes in May at the annual Congress of the Academy of Urbanism in Bradford; and have been exploring them with a number of city Councils and institutions such as the British Standards Institute throughout the year. In June I summarised the ideas that emerged from that work in the article “How to build a Smarter City: 23 design principles for digital urbanism“.

Two of the key issues to address are open data and digital privacy.

As I explored in “Open urbanism:  why the information economy will lead to sustainable cities” in December 2012, open data is a vital resource for creating successful, sustainable, equitable cities. But there are thousands of datasets relevant to any individual city; owned by a variety of public and private sector institutions; and held in an enormous number of fragmented IT systems of varying ages and designs. Creating high quality, consistent, reliable data in this context is a “Brownfield regeneration challenge for the information age”, as I described in October 2012. Planning and procurement regulations that require city information to be made openly available will be an important tool in creating the investment required to overcome that challenge.

(The image on the right was re-created from an MRI scan of the brain activity of a subject watching the film shown in the image on the left. By Shinji Nishimoto, Alex G. Huth, An Vu and Jack L. Gallant, UC Berkley, 2011)

(The image on the right was re-created from an MRI scan of the brain activity of a subject watching the film shown in the image on the left. By Shinji Nishimoto, Alex G. Huth, An Vu and Jack L. Gallant, UC Berkley, 2011)

Digital privacy matters to Smarter Cities in part because technology is becoming ever more fundamental to our lives as more and more of our business is transacted online through e-commerce and online banking. Additionally, the boundary between technology, information and the physical world is increasingly disappearing – as shown recently by the scientists who demonstrated that one person’s thoughts could control another’s actions, using technology, not magic or extrasensory phenomena. That means that our physical safety and digital privacy are increasingly linked – the emergence this year of working guns 3D-printed from digital designs is one of the most striking examples. 

Jane Jacobs defined cities by their ability to provide privacy and safety amongst their citizens; and her thinking is still regarded by many urbanists as the basis of our understanding of cities. As digital technology becomes more pervasive in city systems, it is vital that we evolve the policies that govern digital privacy to ensure that those systems continue to support our lives, communities and businesses successfully.

5. Populate a roadmap that can deliver the vision

In order to fulfill a vision for a Smarter City, a roadmap of specific projects and initiatives is needed, including both early “quick wins” and longer term strategic programmes.

Those projects and initiatives take many forms; and it can be worthwhile to concentrate initial effort on those that are simplest to execute because they are within the remit of a single organisation; or because they build on cross-organisational initiatives within cities that are already underway.

In my August 2012 article “Five roads to a Smarter City” I gave some ideas of what those initiatives might be, and the factors affecting their viability and timing, including:

  1. Top-down, strategic transformations across city systems;
  2. Optimisation of individual infrastructures such as energy, water and transportation;
  3. Applying “Smarter” approaches to “micro-city” environments such as industrial parks, transport hubs, university campuses or leisure complexes;
  4. Exploiting the technology platforms emerging from the cost-driven transformation to shared services in public sector;
  5. Supporting the “Open Data” movement.

In “Pens, paper and conversations. And the other technologies that will make cities smarter” in December 2012, I described a framework for identifying the technology components required to support Smart City initiatives of different kinds, such as:

  1. Re-engineering the physical components of city systems (to improve their efficiency)
  2. Using information  to optimise the operation of city systems
  3. Co-ordinating the behaviour of multiple systems to contribute to city-wide outcomes
  4. Creating new marketplaces to encourage sustainable choices, and attract investment

The Smarter City design patterns I described in the previous section also provide potential ideas, including City information partnerships and City-centre enterprise incubation; I’m hoping shortly to add new patterns such as Community Energy Initiatives, Social Enterprises, Local Currencies and Information-Enabled Resource Marketplaces.

It is also worthwhile to engage with service and technology providers in the Smart City space; they have knowledge of projects and initiatives with which they have been involved elsewhere. Many are also seeking suitable locations in which to invest in pilot schemes to develop or prove new offerings which, if successful, can generate follow-on sales elsewhere. The “First of a Kind” programme in IBM’s Research division is one example or a formal programme that is operated for this purpose.

A roadmap consisting of several such individual activities within the context of a set of cross-city goals, and co-ordinated by a forum of cross-city stakeholders, can form a powerful programme for making cities Smarter.

(Photo of the Brixton Pound by Charlie Waterhouse)

6. Put the financing in place

A crucial factor in assessing the viability of those activities, and then executing them, is putting in place the required financing. In many cases, that will involve cities approaching investors or funding agencies. In “Smart ideas for everyday cities” in December 2012 I described some of the organisations from whom funds could be secured; and some of the characteristics they are looking for when considering which cities and initiatives to invest in.

But for cities to seek direct funding for Smarter Cities is only one approach; I compared it to four other approaches in “Gain and responsibility: five business models for sustainable cities” in August:

  1. Cross-city Collaborations
  2. Scaling-up Social Enterprise
  3. Creativity in finance
  4. Making traditional business sustainable
  5. Encouraging entrepreneurs everywhere

The role of traditional business is of particular importance. Billions of us depend for our basic needs – not to mention our entertainment and leisure – on global supply chains operated on astounding scales by private sector businesses. Staples such as food, cosmetics and cleaning products consume a vast proportion of the world’s fresh water and agricultural capacity; and a surprisingly small number of organisations are responsible for a surprisingly large proportion of that consumption as they produce the products and services that many of us use. We will only achieve smarter, sustainable cities, and a smarter, sustainable world, in collaboration with them. The CEOs of  Unilever and Tesco have made statements of intent along these lines recently, and IBM and Hilton Hotels are two businesses that have described the progress they have already made.

There are very many individual ways in which funds can be secured for Smart City initiatives, of course; I described some more in “No-one is going to pay cities to become Smarter” in November 2012, and several others in two articles in September 2012:

In “Ten ways to pay for a Smarter City (part one)“:

And in “Ten ways to pay for a Smarter City (part two):

I’m a technologist, not a financier or economist; so those articles are not intended to be exhaustive or definitive. But they do suggest a number of practical options that can be explored.

(The discussion group at #SmartHack in Birmingham, described in “Tea, trust and hacking – how Birmingham is getting Smarter“, photographed by Sebastian Lenton)

 

7. Think beyond the future and engage with informality: how to make “Smarter” a self-sustaining process

Once a city has become “Smart”, is that the end of the story?

I don’t think so. The really Smart city is one that has put in place soft and hard infrastructures that can be used in a continuous process of reinvention and creativity.

In the same way that a well designed urban highway should connect rather than divide the city communities it passes through, the new technology platforms put in place to support Smarter City initiatives should be made open to communities and entrepreneurs to constantly innovate in their own local context. As I explored in “Smarter city myths and misconceptions” this idea should really be at the heart of our understanding of Smarter Cities.

I’ve explored those themes frequently in articles on this blog; including the two articles that led to my TEDxWarwick presentation, “Better stories for Smarter Cities: three trends in urbanism that will reshape our world” and “Little/big; producer/consumer; and the story of the Smarter City“. Both of them explored the importance of large city institutions engaging with and empowering the small-scale hyperlocal innovation that occurs in cities and communities everywhere; and that is often the most efficient way of creating social and economic value.

I described that process along with some examples of it in “The amazing heart of a Smarter City: the innovation boundary” in August 2012. In October 2012, I described some of the ways in which Birmingham’s communities are exploring that boundary in “Tea, trust and hacking: how Birmingham is getting smarter“; and in November I emphasised in “Zen and the art of messy urbanism” the importance of recognising the organic, informal nature of some of the innovation and activity within cities that creates value.

The Physicist Geoffrey West is one of many scientists who has explored the roles of technology and population growth in speeding up city systems; as our world changes more and more quickly, our cities will need to become more agile and adaptable – technologists, town planners and economists all seem to agree on this point. In “Refactoring, nucleation and incubation: three tools for digital urban adaptability” I explored how ideas from all of those professions can help them to do so.

Smarter, agile cities will enable the ongoing creation of new products, services or even marketplaces that enable city residents and visitors to make choices every day that reinforce local values and synergies. I described some of the ways in which technology could enable those markets to be designed to encourage transactions that support local outcomes in “Open urbanism: why the information economy will lead to sustainable cities” in October 2012 and “From Christmas lights to bio-energy: how technology will change our sense of place” in August 2012. The money-flows within those markets can be used as the basis of financing their infrastructure, as I discussed in “Digital Platforms for Smarter City Market-Making” in June 2012 and in several other articles described in “5. Put the financing in place” above.

Commentary: a new form of leadership

Andrew Zolli’s book “Resilience: why things bounce back” contains many examples of “smart” initiatives that have transformed systems such as emergency response, agriculture, fishing, finance and gang culture, most, but not all, of which are enabled by technology.

A common theme from all of them is productive co-operation and co-creation between large formal organisations (such as businesses and public sector institutions) and informal community groups or individuals (examples in Resilience include subsistence farmers, civic activitists and pacific island fishermen). Jared Diamond made similar observations about successful examples of socially and environmentally sustainable resource extraction businesses, such as Chevron’s sustainable operations in the Kutubu oilfield in Papua New Guinea, in his book “Collapse“.

Zolli identified a particular style of individual behaviour that was crucial in bringing about these collaborations that he called “translational leadership“: the ability to build new bridges; to bring together the resources of local communities and national and international institutions; to harness technology at appropriate cost for collective benefit; to step in and out of institutional and community behaviour and adapt to different cultures, conversations and approaches to business; and to create business models that balance financial health and sustainability with social and environmental outcomes.

That’s precisely the behaviour and leadership that I see in successful Smarter Cities initiatives. It’s sometimes shown by the leaders of public authorities, Universities or private businesses; but it’s equally often shown by community activists or entrepreneurs.

For me, this is one of the most exciting and optimistic insights about Smarter Cities: the leaders who catalyse their emergence can come from anywhere. And any one of us can choose to take a first step in the city where we live.

How to build a Smarter City: 23 design principles for digital urbanism

(Bradford’s City Park, winner of the Academy of Urbanism’s “Great Place” award for 2013. The park is a public space that has been reclaimed for city life from traffic, and which evolves from a daytime public square into an evening water-feature. The fountains and lighting can adapt to and follow individual or crowd movements. Photo by Chloe Blanchfield. )

At the same time that cities everywhere are seeking funds for Smarter City initiatives, and often relying on central government or research grants to do so, I know of literally billions of Pounds, Euros, and Dollars that are being spent on relatively conventional development and infrastructure projects that aren’t particularly “smart”.

Why is that?

One reason is that we have yet to turn our experience to date into prescriptive, re-usable guidance. Many examples of “Smarter City” projects have demonstrated that in principle technologies such as social media, information marketplaces and the “internet of things” can support city-level objectives such as wellbeing, social mobility, economic growth and infrastructure resilience. But these individual results do not yet constitute a normalised evidence base to indicate which approaches apply in which situations, and to predict in quantitative terms what the outcomes will be.

And whilst a handful of cities such as Portland and Dublin have implemented information platforms on which sophisticated research can be carried out to predict the effect that technology and other interventions will have on a specific city, elsewhere we are in the early stages of considering the strategic role that technology should play in the overall design, planning and governance of cities.

We have been in this position before. In her seminal 1961 work “The Death and Life of Great American Cities“, Jane Jacobs wrote of the extant planning regime that in her opinion was impeding, or even destroying, the growth of healthy, urban cities in favour of a misguided faith in the suburban “Garden City” vision and its derivatives:

“Private investment shapes cities, but social ideas (and laws) shape private investment. First comes the image of what we want, then the machinery is adapted to turn out that image. The financial machinery has been adjusted to create anti-city images because, and only because, we as a society thought this would be good for us. If and when we think that lively, diversified city, capable of continual, close- grained improvement and change, is desirable, then we will adjust the financial machinery to get that.”

(The White Horse Tavern in Greenwich Village, New York. The rich urban life of the area was described by one of the Taverns’ many famous patrons, the urbanist Jane Jacobs. Photo by Steve Minor).

Similarly, today’s planning and procurement practises do not explicitly recognise the value of the Smart City vision, and therefore are not shaping the financial instruments to deliver it.

This is not because those practises are at fault; it is because technologists, urbanists, architects, procurement officers, policy-makers and planners need to work together to evolve those practises to take account of the new possibilities available to cities through technology.

I was recently asked by a city that I work closely with to contribute suggestions for how their next planning strategy could reflect the impact of the technology agenda. Drawing on experiences and conversations with cities, Universities, government bodies and professional organisations over the last year, including the “Digital Urbanism” workshop help at the Academy of Urbanism Congress 2013 in Bradford, UK on 16th May, I put together a set of intentionally provocative candidate “design principles” for them to consider.

I’ve reproduced those principles in this article. They will not be universally accepted, and it is not possible yet to provide a mature body of evidence to support them. Whilst some will seem obvious, some may be controversial – or simply naive. Many will change or be discarded in time; some will be found to be misguided or unworkable. Because the outcomes we are seeking are often qualitative – “vibrant communities”, for example – and because research into city systems and the work of standards bodies is still ongoing, many of them are aspirational and subjective. But by presenting active principles rather than passive observations, my hope is to stimulate a useful debate.

A final caveat: my profession is technology, not the architecture of buildings and structures, urban design or town-planning. I therefore lack the depth of background in urban thinking that will be shared by many of those who I hope to engage in this debate; and as a consequence, some of this material may duplicate well-established thinking; be unsophisticated in content or expression; or just plain wrong. I hope that you will forgive and accept the attempts of a passionate newcomer to contribute thinking from a new domain into one that is well established; and help me to improve on this first attempt.

Candidate Design Principles for Digital Urbanism

(Tina Saaby, Copenhagen's City Architect, addressing the Academy of Urbanism Congress in Bradford)

(Tina Saaby, Copenhagen’s City Architect, addressing the Academy of Urbanism Congress in Bradford)

The importance of “place” in town planning and urban design has come to encapsulate experience from a variety of domains about what makes urban environments successful from the perspective of the people, businesses and communities who use them. It was summarised by Copenhagen’s City Architect, Tina Saaby, in her address to the Academy of Urbanism Congress 2013 as “Consider urban life before urban space; consider urban space before buildings”.

In identifying “urban life” as the starting point, I think Tina was reminding us to begin always by considering the needs and behaviour of individual people, and then their interactions with each other. This was the basis of Jane Jacobs’ understanding of cities and systems such as their economies and governments; and more recently it has been used by Professor Geoffrey West of the Sante Fe Institute to perform detailed, quantitative analyses of the performance of city systems.

It’s equally important to use urban life and “place” as our starting points when guiding the application of technology in city systems, and so by analogy, a candidate principle for the digital agenda in cities could be:

Principle 1: Consider urban life before urban place; consider urban place before technology.

Recent scientific work has shown that the rate of change is increasing in modern society – and specifically in cities as they grow. For example, Geoffrey West’s work shows that larger cities create more wealth, more efficiently, than smaller cities. In doing so, they attract residents, grow bigger still, and accelerate wealth creation further. This self-reinforcing process results in an ever-increasing demand for resources. It powered the growth of cities in the developed world through the Industrial Revolution; it is powering the growth of cities in emerging markets today; and it is driving the overall growth in global population. Professor Ian Robertson of Trinity College Dublin has even shown that as cities get bigger, people in them walk faster.

So in the many cities which are growing both organically and by continuing to attract immigration, two further candidate principles could be:

Principle 2: Demonstrate sustainability, scalability and resilience over an extended timeframe.

Principle 3: Demonstrate flexibility over an extended timeframe.

Physical Infrastructures and Construction

A difficulty in most existing buildings is to adapt them to support new technology infrastructures – to update wiring, or to add cabling for new network technologies, for example. Any specific prediction concerning our needs for such infrastructures in the future will likely be wrong; but it is certain that those needs will be different from today; and so:

Principle 4: New or renovated buildings should be built to contain sufficient space for current and anticipated future needs for technology infrastructure such as broadband cables; and of materials and structures that do not impede wireless networks. Spaces for the support of fixed cabling and other infrastructures should be easily accessible in order to facilitate future changes in use.

Furthermore, broader trends that are influenced by technology – such as mobile working, collaborative working spaces, pop-up shops and the demise of some traditional retail enterprises – are evidence that the rate of change in the uses to which we want to put buildings and urban spaces is increasing. This leads to another candidate principle:

Principle 5: New or renovated buildings should be constructed so as to be as functionally flexible as possible, especially in respect to their access, infrastructure and the configuration of interior space; in order to facilitate future changes in use.

Connectivity and Information Accessibility

Sources as respected as McKinsey and Imperial College have asserted that we are entering an age in which economic value will be created through the use of the digital information that is increasingly ubiquitous not just in our online activities but in the systems that operate physical services such as transport, utilities and buildings.

A fundamental requirement to participate in the information economy is to be connected to digital networks, leading to candidate design principle six:

Principle 6: Any development should ensure wired and wireless connectivity is available throughout it, to the highest standards of current bandwidth, and with the capacity to expand to any foreseeable growth in that standard.

(An analysis based on GPS data from mobile phones of end-to-end journeys undertaken by users of Abidjan’s bus services. By comparing existing bus routes to end-to-end journey requirements, the analysis identified four new bus routes and led to changes in many others. As a result, 22 routes now show increased ridership, and city-wide journey times have decreased by 10%.)

Organisations of all types and sizes are competing for the new markets and opportunities that digital information creates – that is simply the natural consequence of the emergence of a new resource in a competitive economy. Much of that information results from data created by the actions and activities of all of us as individuals; so we are the ultimate stakeholders in the information economy, and should seek to establish an equitable consensus for how our data is used.

However, in most cases converting the data that is created by our actions into useful information with a business value requires either a computing infrastructure to process the data or human expertise to assess it. Both of those have a cost associated with them that must be borne by some individual or organisation.

Those forces of the information economy may only ever be resolved in specific contexts rather than in universal principle. But any new development or supporting technology system that adds to the cost of allowing data associated with it to be openly exploited in principle adds a potential impediment to future economic and social productivity. So, even if the means to bear the costs associated with providing useful information are not agreed initially:

Principle 7: Any new development should demonstrate that all reasonable steps have been taken to ensure that information from its technology systems can be made openly available without additional expenditure. Whether or not information is actually available will be dependent on commercial and legal agreement, but it should not be additionally subject to unreasonable expenditure. And where there is no compelling commercial or legal reason to keep data closed, it should actually be made open.

A central tenet of the Smarter Cities movement is to create value by integrating systems. The integration of technology systems is made simpler and less expensive when those systems conform to standards for the format, meaning, encoding and interchange of data. However, standards for interoperability for Smarter City systems are in the early stages of development, including contributions from initiatives such as the British Standards Institute’s Smarter Cities Strategy, the City Protocol Society, and IBM’s SCRIBE Research project into city information models. Candidate principle eight therefore states that:

Principle 8: The information systems of any new development should conform to the best available current standards for interoperability between IT systems in general; and for interoperability in the built environment, physical infrastructures and Smarter Cities specifically.

There is much debate as to whether, beyond basic network connectivity, higher-level digital services should form part of a national or civic infrastructure to support businesses and communities in creating growth through digital technologies. The EU “Future Internet” project FI-WARE and Imperial College’s “Digital Cities Exchange” research programme are both investigating the specific digital services that could be provided as enabling infrastructure to support this growth; and the British Standards Institute is exploring related standards to encourage growth amongst SMEs.

A further candidate principle expresses the potential importance of this research to the economic competitiveness of cities in the information economy:

Principle 9: New developments should demonstrate that they have considered the commercial viability of providing the digital civic infrastructure services recommended by credible research sources.

Sustainable Consumerism

(Graphic of energy use in Amsterdam from "Smart City Amsterdam" by Daan Velthauzs)

(Graphic of energy use in Amsterdam from “Smart City Amsterdam” by Daan Velthauzs)

The price of energy is expected to rise in the long term until new energy sources are scalably commercialised; and the UK specifically is expected to experience power shortfalls by 2015. Many urban areas are already short of power, limited simply by the capacity of existing delivery subsystems.

Overall it is clear that it is economically and environmentally sensible to reduce our use of energy. One way to do so is to make better use of the information from city systems and buildings that describe energy usage. Property developers in Amsterdam used such information to lower the cost of energy infrastructure for new developments by collaborating to create an investment case for smart grid infrastructure.

Candidate principle ten is therefore:

Principle 10: Any data concerning a new development that could be used to reduce energy consumption within that development, or in related areas of a city, should be made open.

As consumer awareness of energy costs and sustainability has increased, developers of residential communities that have provided state-of-the-art technologies for sustainable living have reported strong demand, leading to a further candidate principle:

Principle 11: Property development proposals should indicate how they will attract business and residential tenants through providing up-to-date sustainable infrastructures for heat and power such as CHP, smart metering, local energy grids and solar energy.

Urban Communities

Developments carried out according to plans developed in collaboration with existing residents have provided some of the most interesting examples of successful placemaking. Social media, virtual reality and other digital technologies offer the opportunity to enable richer, more widespread consultations and explorations of planned developments by the communities that they will effect. Candidate principles twelve and thirteen express the possibility for these technologies to contribute to placemaking and successful urban developments:

Principle 12: Consultations on plans for new developments should fully exploit the capabilities of social media, virtual worlds and other technologies to ensure that communities affected by them are given the widest, most immersive opportunity possible to contribute to their design.

Principle 13: Management companies, local authorities and developers should have a genuinely engaging presence in social media so that they are approachable informally.

(Photograph by Meshed Media of Birmingham’s Social Media Cafe, where individuals from every part of the city who have connected online meet face-to-face to discuss their shared interest in social media.)

City communities are not passive observers to the Smarter City phenomenon. They may be crowd-sourcing mapping information for OpenStreetMap; running or participating in hacking events such as the Government Open Hackday in Birmingham last year; or they may be creating new social enterprises or regional technology startups, such as the many city currencies and trading schemes that are appearing.

But access to and familiarity with social media is far from ubiquitous; the potential for new communities to adopt and benefit from such technology is enormous, and need not be expensive. Informal programmes to spread awareness and provide education, such as the social media surgeries started by Podnosh in Birmingham, can have a powerful effect helping communities to exploit social technology to uncover hidden synergies and connections.

Principle 14: Local authorities should support awareness and enablement programmes for social media and related technologies, particularly “grass roots” initiatives within local communities.

Local food initiatives – in which local food processing is more important than local food growing in cities with limited open space but plentiful manufacturing space – have the potential to strengthen community ties; provide employment opportunities; promote healthier diets; and reduce the carbon impact of food supply systems. They can be supported by measures such as the provision of generous gardens, allotments or public space in the physical environment; and by the use of technology to enable online food markets or related distribution systems.

Such initiatives are generally operated by private sector organisations – often small-scale entrepreneurial or social enterprises; but their formation may be facilitated by local authorities or developers during the course of development or regeneration programmes. Candidate principle fifteen is therefore:

Principle 15: Urban development and regeneration programmes should support the formation, activity and success of local food initiatives by cooperating with local community and business support programmes to support the infrastructures they need to succeed and grow.

Demographic and economic trends indicate that we are living longer and needing to support ourselves later in life. A variety of technologies can provide or contribute to that support:

Principle 16: Residential accommodation should incorporate space for environmental monitoring, interactive portals, and connectivity to enable remote support, telehealth systems and homeworking.

Economic Development and Vitality

(The Custard Factory in Birmingham, at the heart of the city’s creative media sector)

In his address to the Academy of Urbanism Congress, economist Michael Ward, Chair of the Centre for Local Economic Strategies, asserted that:

“The key task facing civic leaders in the 21st Century is this: how, in a period of profound and continuing economic changes, will our citizens earn a living and prosper?”

For cities to provide jobs, they need successful businesses; and technology will have a dramatic effect on what it means to be a successful business in the 21st Century.

Over the last two decades, the internet, mobile phone and social media have redefined the boundaries of the communications, technology, media, publishing and technology industries. The companies that thrived through those changes were those who best understood how to use technology to merge capabilities from across those industries into new business models. In the coming decade as digitisation extends to industries such as manufacturing through technologies such as 3D printing and smart materials, more and more industry sectors will be redefined by similar levels of disruption and convergence.

So how are the economies of our cities placed to be successful in that world of change?

Many have the mix of technology, creative and industrial capabilities to be successful in future economies in principle; but in practise those capabilities are in separate geographical locations, between which it is difficult for serendipitous interactions to create new innovations – I discussed these issues in the context of Birmingham, my home city, in an article a few weeks ago.

Spatial modelling techniques can predict the impact of planned developments on these characteristics of the cities surrounding them – i.e. whether they will improve or worsen connectivity between value-creating districts in different economic sectors. Candidate principles seventeen and eighteen express how these techniques could be used:

Principle 17: New developments should demonstrate through the use of the latest urban modelling techniques that they will increase connectivity – particularly by walking and cycling – between important value-creating districts and economic priority zones that are adjacent or near to them.

Principle 18: Developments should offer the opportunity of serendipitous interaction and innovation between stakeholders from different occupations.

The nature of work, business and employment in many industries is changing, driven by technology. Whilst these changes may not take place at the same speed in all businesses, in all industries, in all places; it will become increasingly important over time that cities and districts provide the facilities that future enterprises will require:

Principle 19: Developments should provide, or should be adaptable to provide, facilities to enable the location and success of future ways of working including remote and mobile working, “fab labs” (3d printing facilities), “pop-up”  establishments and collaborative working spaces.

Governance

Most urban spaces and developments do not succeed immediately; time is required for them to attract and adapt to the uses that they will eventually successfully support. That condition of success will be more rapidly achieved or new developments, and will be sustained for longer, if it is possible to easily adapt them. Such adaptability is particularly important given the speed of change and innovation that digital technology can enable, leading to candidate principle twenty:

Principle 20: Planning, usage and other policies governing the use of urban space and structures should facilitate innovation and changes of use, including temporary changes of use.

Privacy and Public Safety

Privacy and security are perhaps the greatest current challenges of the digital age; but that is simply a reflection of their importance in all aspects of our lives. Jane Jacobs’ description of urban systems in terms of human and community behaviour was based on those concepts, and is still regarded as the basis of our understanding of cities.

But new technologies are changing the relationship between physical and digital environments with the consequence that a failure in privacy or security digital systems could affect community vitality or public safety in cities. So candidate principle twenty-one is:

Principle 21: Any information system in a city development should provide a clear policy for the use of personal information. Any use of that information should be with the consent of the individual.

Transport

(Packages from Amazon delivered to Google’s San Francisco office. Photo by moppet65535)

There is a truth about social media, information marketplaces and related “Smarter City” technologies that is far too rarely explored, but that has serious implications. It is that rather than removing the need to travel and transport things, these technologies can dramatically increase our requirements to do so. Candidate principle twenty-two expresses the need for transport plans to take account of this potential:

Principle 22: Transport plans supporting new developments should demonstrate that they have not only provided for traditional transport demand, but also that which might be created by online business models and other social technologies.

Extensions

This article is an early attempt to express candidate design principles for Smarter Cities; and I have not attempted to systematically address all of the potential domains of city systems where technology may have a role to play. Such an exercise would undoubtably yield further candidate principles. In addition, many other efforts are underway to encode emerging knowledge about the successful use of technology in city systems through organisations such as the City Protocol Society and the British Standards Institute or research programmes such as Imperial College’s Digital Cities Exchange. And so a final candidate principle encourages continuous awareness of the progress of such initiatives:

Principle 23: New developments should demonstrate that their design takes account of the latest best and emerging practises and patterns from Smarter Cities, smart urbanism, digital urbanism and placemaking.

Conclusion

When I first began to extract candidate design principles from my workshop and meeting notes, I doubted whether I would identify more than a handful; I was certainly not expecting to identify more than twenty. I think that it is encouraging to observe that there is so much that can be stated positively about the potential of technology to create value in cities.

My sense, though, is that an overarching set of five to ten principles would be much more useful in defining an approach to Smarter Cities that could be broadly adopted. In order to identify what those principles should be, I will need to more clearly define their audience and purpose. Such an exercise will probably form the basis of a subsequent article for this blog.

But in the meantime, I hope that I have offered food for thought; and I look forward to hearing your views.

My thanks to those who have commented on the principles I shared on twitter ahead of posting this: Leo HollisTony SmithWe Make GoodIan OwenOsvaldoFred Bartels and Frederico Muñoz.

An address to the United Nations: science, technology and innovation for sustainable cities and peri-urban communities

I was honoured this week to be asked to address the 16th session of the United Nations’ Commission on Science and Technology for Development in Geneva on the topic of Smarter Cities. I was invited to speak following the Commission’s interest in my article “Open urbanism: why the information economy will lead to sustainable cities“, which was referenced in their report “Science, technology and innovation for sustainable cities and peri-urban communities“. I’ll write an article soon to describe what I learned from the other speakers and discussions at the Commission; but in the meantime, this is a reasonable representation of my spoken remarks.

(Photo of a street market in Dhaka, Bangladesh by Joisey Showa)

In the Industrial Revolution European cities were built upwards around lifts powered by the steam engine invented by James Watt and commercialised by Matthew Boulton in Birmingham. Over the last century we have expanded them outwards around private automobiles and roads.

We believed we could afford to base our cities and their economies on that model because its social and environmental costs were not included in its price. As our cities have become polluted and congested; as the world’s urban population grows dramatically; and as energy costs rise; that illusion is failing.

Professors Geoffrey West and Louis Bettencourt of Los Alamos Laboratory and the Sante Fe Institute said in their 2010 paper in the peer-reviewed scientific journal Nature that “At the start of the twenty-first century, cities emerged as the source of the greatest challenges that the planet has faced since humans became social.”

Technology offers powerful opportunities to address those challenges, and to support the lives of populations inside and around cities in new and more efficient ways, in both developed and developing markets. But technology will only deliver those benefits if we adapt governance and financial models to achieve broader social, economic and environmental outcomes; and if we use technology in a way that serves the genuine needs of local people, communities and businesses. A city that succeeds in transforming itself in this way is one that we call a Smarter City.

Those technologies are developing at an incredible rate. Two years ago, IBM’s “Watson”computer competed successfully against human beings in the television quiz show “Jeopardy”. Scientists at the University of California at Berkley have used a Magnetic Resonance Imaging facility to capture images from the thoughts of a person watching a film. And anything from prosthetic limbs to artificial food can be “printed” from digital designs.

The boundary between information systems, the physical world, and human minds, bodies and understanding is disappearing, and the world will be utterly transformed as a result.

But for who?

As digital and related technologies develop ever more rapidly, they will continue to change the way that value is created in local and global economies. Existing challenges in the acquisition of skills, digital exclusion and social mobility mean that life expectancy varies by 20 years or more even between areas within single cities in developed economies, let alone between the developed and developing world.

The challenge of digital exclusion is well known, of course; but the rapidity of these developments and the profound nature of their potential impact on city systems and economies imply a new sense of urgency in addressing it.

When my son was two years old I showed him a cartoon on an internet video site using the touchscreen tablet I’d just bought. When it finished, he instinctively reached out to touch the thumbnail image of the cartoon he wanted to watch next. The children of my son’s generation who grow up with that innate expectation that information across the world is literally at their fingertips will have an enormous advantage.

One of the things that we are exploring through Smarter City initiatives is how to make some of the power of these technologies more widely available to cities and communities.

(The multi-agency control centre in Rio de Janeiro built by Mayor Eduardo Paes to enable the city's agencies to manage the city effectively during the 2014 World Cup and 2016 Olympic Games)

(The multi-agency control centre in Rio de Janeiro built by Mayor Eduardo Paes to enable the city’s agencies to manage the city effectively during the 2014 World Cup and 2016 Olympic Games)

The city of Rio de Janeiro offers one example of what is possible when we successfully apply technology in cities. Under the leadership of Mayor Eduardo Paes a single operations centre for the city now coordinates the actions of 30 City services to manage the city safely and efficiently. Information feeds from the city’s road systems, CCTV cameras, public safety services and from an advanced weather forecasting solution that can predict the likelihood of life-threatening landslides are delivered to the centre in realtime, and used to trigger multi-agency responses, as well as alerts to the civilian population through channels such as social media .

But Rio is a large city in a rapidly growing Country; and it is preparing for a Football World Cup and Olympic Games within 2 years of each other. How can cities who are not in this position emulate Rio’s approach? And how can the power of this technology be made more broadly available to city communities as well as the agencies and institutions that serve them?

In Dublin, Ireland, the “Dublinked” information sharing partnership between the City and surrounding County Councils, the National University of Ireland, businesses and entrepreneurs is now sharing three thousand city datasets; using increasingly sophisticated, realtime tools to draw value from them; identifying new ways for the city’s transport, energy and water systems to work; and enabling the formation of new,  information-based businesses. It is putting the power of technology and of city information not only at the disposal of the city authority and its agencies, but also into the hands of communities and innovators.

But Dublin is the capital city of a developed country, with an internationally-recognised university, and which hosts large development and research facilities for multi-national technology companies such as IBM. How can cities without those advantages emulate Dublin’s successes?

One way is to re-use the results of research and “first-of-a-kind” projects whose cost has been borne in the developed world or in rapidly growing economies to pilot solutions in the developing world.

For example, my colleagues recently used knowledge gained through research in Dublin to suggest improvements to public transport in Abidjan, Cote d’Ivoire.

The project analysed anonymised movement data from the GPS sensors in the mobile telephones of bus passengers in order to identify clusters of start, end and intermediate points in their end-to-end journeys. By comparing existing bus routes to those points, the project identified four new bus routes and led to changes in many others.

As a result, 22 routes now show increased ridership. And by providing bus routes that better match the journeys that people really want to undertake, the need for them to travel to and from bus stops – often using unregulated and relatively unsafe “informal” travel services – is reduced to the extent that citywide travel time has decreased by 10%.

But we are not just seeking to replicate what works in a handful of high-profile cities as if the same solutions apply everywhere. It’s not always the case that they do, especially without local adaptation. And it’s vital to also enable new initiatives that arise from specific local contexts in cities everywhere, whatever their resources.

Consequently, in Sunderland, we were asked by the City Council: how do you make Hendon Smarter?

Sunderland is typical of the many post-industrial cities in Europe that are rebuilding economies following the decline of industries such as coalmining, bulk manufacturing and shipbuilding in the late 20th Century. Hendon in Sunderland’s East End is one of the areas that suffered most from that decline, and it still has low levels of employment, skills and social mobility.

What we have learned in Sunderland and elsewhere is that it is often private sector entrepreneurs and community innovators who have the widest set of ideas about how technology can be used cleverly to achieve the outcomes that are important to their cities, particularly in an environment with limited access to finance, skills and technology resources.

The large institutions of a city can assist those innovators by acting as an aggregator for their common needs for such resources, making them easier to acquire and use. They can also introduce external partners with research and development capability to those aggregate needs, which for them can represent a new market opportunity worthy of investment.

It’s rare that these connections work directly: government bodies and their large-scale suppliers have very different business models and cultures to small-scale innovators; and often there is little history of interaction, cooperation and trust. The role of “bridging organisations” and networks between individuals is extremely important.

(The SES "Container City" incubation facility for social enterprise in Sunderland)

(The “Container City” incubation facility for social enterprises operated by Sustainable Enterprise Strategies in Sunderland)

In Sunderland, Sustainable Enterprise Strategies, who provide business support to small businesses and social enterprises in Hendon, provided the bridge between the City Council and IBM; and community innovators, such as Lydia’s House who train vulnerable adults in skills such as furniture-making, and Play Fitness, who engage children from deprived backgrounds in physical exercise and education by using digital technology to connect exercise equipment to computer games. Sunderland Software City, the city’s technology business incubator, plays a similar role within the local community of entrepreneurial technology businesses.

This approach is not specific to Sunderland, the UK or the developed world. Our work in Sunderland was inspired by a previous project in Wuxi, China; and in turn it has informed our approaches in cities as far afield as the United States, the Middle East, Africa and Asia.

In many countries in many geographies, new organisational models are emerging from these co-operative ecosystems. For example:

  • Community Interest Companies for managing shared assets such as land, natural resources, or locally-produced food or energy, such as the Eco-Island initiative on the Isle of Wight; or similar models internationally such as Waste Concern in Bangladesh.
  • Social Enterprises such as Lydia’s House and Play Fitness, which develop financially sustainable business models, but which are optimised to deliver social, environmental or long-term economic benefits, rather than the maximum short-term financial return.
  • New partnerships between public sector agencies; educational institutions; service and technology providers; communities; and individuals – such as the Dubuque 2.0 sustainability partnership in where the city authority, residents and utility providers have agreed to share in the cost of fixing leaks in water supply identified by smart meters.

Often such organisations create innovative business models in the form of marketplaces in industries in which money-flows already exist. The changes to those money-flows created by smarter systems form the basis of the potential for returns upon which a business case for investment can be made.

(The SMS for Life project uses the cheap and widely used SMS infrastructure to create a dynamic, collaborative supply chain for medicines between pharmacies in Africa. Photo by Novartis AG)

Arguably, the widespread use of mobile phone technology in the developing world, and in particular the ubiquity of mobile payments systems in Africa, is more advanced in its ability to create such marketplaces using very low cost infrastructure than in communities in the developed world . Both financial services institutions and technology entrepreneurs in the West are watching these innovations closely and learning from them.

Examples include SMS for Life, which uses a text messaging system to implement a dynamic, distributed supply chain for medicines between collaborating pharmacies in several African countries. And Kilimo Salama provides affordable insurance for small-scale farmers by using remote weather monitoring to trigger payouts via mobile phones, rather than undertaking expensive site visits to assess claims. This is a good example of a private-sector aggregator – in this case an insurer – investing in a technology – remote weather monitoring – to serve a large number of end-users – the farmers – who can’t afford it directly.

In cities, we are starting to see these ideas applied to the creation of food distribution schemes; sustainable transport systems that share the use of resources such as cars and vans and perform dynamic matching between networks of independent consumers and providers of transport services; and many other systems that reinforce local trading opportunities and create social and economic growth.

(A smartphone alert sent to a commuter in a San Francisco pilot project by IBM Research and Caltrans that provides personalised daily predictions of commuting journey times – and suggestions for alternative routes.)

But the role of technology in these markets is not just to introduce consumers and providers of services to each other; but to do so in a way that informs consumers about the impact of the choices they are about to make.

In Singapore, algorithms are used by the city’s traffic managers to predict traffic flow and congestion in the city up to one hour ahead with 85% accuracy. This allows them to take measures to prevent the predicted congestion occurring.

In a later project in California, those predictions made by those algorithms were provided to individual commuters in San Francisco’s Bay Area. Each commuter was told, in advance, the likely duration of their journey to the city each day, including the impact of any congestion that would develop whilst their journey was underway. This allowed them to make new choices: to travel at a different time; by a different route or mode of transport; or not to travel at all.

And we can appeal not only to individual motivations, but to our sense of community and place. In a smart water meter project in Dubuque, households were given information that told them whether their domestic appliances were being used efficiently, and alerted to any leaks in their supply of water. To a certain extent, households acted on this information to improve the efficiency of their water usage.

However a control group were also given a “green points” score telling them how their water conservation compared to that of their near neighbours. The households given that information were twice as likely to take action to improve their efficiency.

Maslow’s hierarchy of needs tells us that once the immediate physical needs and safety of ourselves and our family are secured, that our motivations are next dictated by our relationships with the people around us – our families, communities and peers. Our ability to relate information to community contexts allows information-based services to appeal to those values.

(The Dubuque water and energy portal, showing an individual household insight into it's conservation performance; but also a ranking comparing their performance to their near neighbours)

(The Dubuque water and energy portal, showing an individual household insight into it’s conservation performance; but also a ranking comparing their performance to their near neighbours)

A new style of personal leadership can be found in many of the situations in which these ideas are successfully applied: people from a variety of backgrounds who have the ability to build new bridges; to bring together the resources of local communities and national and international institutions; to harness technology at appropriate cost for collective benefit; to step in and out of institutional and community behaviour and adapt to different cultures, conversations and approaches to business; and to create business models that balance financial health and sustainability with social and environmental outcomes.

The more that national and local governments can collaborate with the private sector, bridging organisations and communities to encourage this style of leadership and support and reward these new models of business, the more successfully we’ll put the power of technology into the hands of the people, businesses and communities most able to design, use and operate the new services that will make their cities better.

Large organisations have resources; small organisations have the ability to create valuable innovations in true sympathy with the detail of their local context. Private sector has the expertise to invest in assets that create future value; public sector has the responsibility to govern for the good of all. It is only by working together across all of these boundaries at once that we will really succeed in making cities Smarter in a way that is sustainable and equitably distributed. And that must be the only definition of “Smarter” that makes sense.

Death, life and place in great digital cities

("Lives on the Line" by James Cheshire at UCL's Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

(“Lives on the Line” by James Cheshire at UCL’s Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

At the recent Base Birmingham Conference, Scott Cain of the UK Technology Strategy Board (TSB) explained some of the reasons why Glasgow was awarded the TSB’s £24m Future Cities Demonstrator project this year.

Among them all, including the arrival of the Commonwealth Games in 2014 and the strength of the proposed delivery partnership, one stood out for me: the challenge of addressing the difference in life expectancy of 28 years between the wealthiest and poorest areas of the city.

That’s a deeply serious problem, and it’s inarguably worth supporting the city’s attempts to tackle it. Glasgow’s demonstrator project includes a variety of proposals to tackle life expectancy and other issues correlated with it – such as fuel poverty, public safety and health – using technology- and information-enabled approaches.

But whilst Glasgow has the widest variation in life expectancy in the UK, it is far from alone in having a significant one. The variation in life expectancy in London is about 20 years, and has been mapped against its tube network. Life expectancy in Birmingham ranges from 75 to 84 and has similarly been mapped against the local rail network; and in Plymouth it varies by 12.6 years across the city. Life expectancy in many cities varies by as much as 10 years, and is widely viewed as an unacceptable inequality between the opportunities for life offered to children born in different places.

Glasgow, Plymouth, London and Birmingham are just a few examples of cities with active strategies to address this inequality; but all of them are crafting and executing those strategies in an incredibly tough environment.

Many nations in the developed world are facing times of budget cuts and austerity as they tackle high levels of public, commercial and domestic debt built up in the decades leading to the 2008 financial crisis. At the same time, growth in the population, economies and middle classes of the emerging world are creating new wealth, and new demand for resources, across the world. So the cities of the developed world are seeking to rebalance inequalities in their own communities at a time when the resources available to them to do so are shrinking as a consequence of a rebalancing of inequalities that is, to an extent, taking place on a global scale (and quite rightly).

(Photo of Geoffery West describing the scaling laws that determine animal characteristics by Steve Jurvetson. Note that whilst the chart focusses on mammals, the scaling laws are more broadly applicable.)

The physicist Geoffrey West has analysed in detail the performance of city systems, and one interpretation of his work is that it demonstrates that this challenge is inevitable. He showed that larger cities create more wealth, more efficiently, than smaller cities. In doing so, they attract residents, grow bigger still, and accelerate wealth creation further. This self-reinforcing process results in an ever-increasing demand for resources. It powered the growth of cities in the developed world through the Industrial Revolution; and it is powering the growth of cities in emerging markets today.

In an interview with the New York Times, West described two possible ends to this process: a catastrophe caused by a failure in the supply of resources; or an intervention to alter the relationship between value creation and resource consumption.

Many would argue that we are already experiencing failures in supply – for example, the frightening effects of recent grain shortages caused by droughts that are probably attributable to climate change; or predictions that the UK will face regular blackouts by about 2015 due to a shortfall in power generation.

At the heart of the Smarter Cities movement is the belief that the use of engineering and IT technologies, including social media and information marketplaces, can create more efficient and resilient city systems. Might that idea offer a way to address the challenges of supporting wealth creation in cities at a sustainable rate of resource usage; and of providing city services to enable wellbeing, social mobility and economic growth at a reduced level of cost?

Many examples demonstrate that – in principle – Smarter Cities concepts can do that. Analytics technologies have been used to speed up convergence and innovation across sectors in city economies; individuals, communities and utility providers have engaged in the collective, sustainable use of energy and water resources, as has happened in Dubuque; local trading and currency systems are being used to encourage the growth of economic activity with local social and environmental benefits; information technology enables more efficient transportation systems such as California’s Smarter Traveller scheme or the local transport marketplaces created by Shutl and Carbon Voyage; and business-to-business and business-to-consumer marketplaces such as Big Barn and Sustaination are supporting local food initiatives.

But there are two problems with broadly applying these approaches to improve cities everywhere.

(The Dubuque water and energy portal, showing an individual household insight into it's conservation performance; but also a ranking comparing their performance to their near neighbours)

(The Dubuque water and energy portal, showing an individual household insight into it’s conservation performance; but also a ranking comparing their performance to their near neighbours)

Firstly, they do not always translate in a straightforward way from one place and system to another. For example, a neighbourhood in Dubuque achieved an overall reduction in water and energy usage when each household was given information comparing their own resource consumption to an anonymised average for those around them. Households with higher-than-average resource use were motivated to become better neighbours.

But a recycling scheme in London that adopted a similar approach found instead that it lowered recycling rates across the community: households who learned that they were putting more effort into recycling than their neighbours asked themselves “if my neighbours aren’t contributing to this initiative, then why should I?”

These are good examples of “Smarter City” initiatives that are enabled by technology; but that are more importantly dependent on changes in the behaviour of individuals and communities. The reasons that those changes take place cannot always be copied from one context to another. They are a crucial part of a design process that should be carried out within individual communities in order to co-create useful solutions for them.

Secondly, there is a truth about social media, information marketplaces and related “Smarter City” technologies that is far too rarely explored, but that has serious implications. It is that:

Rather than removing the need to travel and transport things, these technologies can dramatically increase our requirements to do so.

For example, since I began writing this blog about 18 months ago, I have added several hundred connections to my social media network. That’s hundreds of new people who I now know it’s worth my while to travel to meet in person. And sure enough, as my network has grown in social media, so have the demands of my traveling schedule.

Similarly, e-Bay CEO John Donahoe recently described the environmental benefits created by the online second-hand marketplace extending the life of over $100 billion of goods since it began, representing a significant reduction in the impact of manufacturing and disposing of goods. But such benefits of online marketplaces are offset by the carbon impact of the need to transport goods between the buyers and sellers who use them; and by the social and economic impact in cities that are too often dominated by road traffic rather than human life.

Increasing the demand for transport in cities could be very damaging. Some urbanists such as the architect and town planner Tim Stonor and Enrique Peñalosa, former mayor of Bogotá, assert that the single biggest cause of poorly functioning city environments today is the technology around which most of them have been built for the last century: the automobile. And whilst recent trends have started to address those challenges – “human scale” approaches to town planning and architecture; the cycling and walkability movements; and, in some cases, improvements in public transport – most cities still have congested transport systems that make cities more dangerous and unpleasant than we would like.

(Photo of pedestrian barriers in Hackney, London by mpromber, showing how they impede the movement of people engaging in local transactions at the expense of road traffic passing through the area)

We are opening Pandora’s box. These tremendously powerful technologies could indeed create more efficient, resilient city systems. But unless they are applied with real care, they could exacerbate our challenges. If they act simply to speed up transactions and the consumption of resources in city systems, then they will add to the damage that has already been done to urban environments, and that is one of the causes of the social inequality and differences in life expectancy that cities are seeking to address.

And as serious as these issues are today, they will be even more important in the future:

At this week’s Academy of Urbanism Congress in Bradford, economist Michael Ward, Chair of the Centre for Local Economic Strategies, expressed most succinctly a point that many speakers touched on:

“The key task facing civic leaders in the 21st Century is this: how, in a period of profound and continuing economic changes, will our citizens earn a living and prosper?”

For cities to provide jobs, they need successful businesses; and technology will have a dramatic effect on what it means to be a successful business in the 21st Century.

Over the last two decades, the internet, mobile phone and social media have redefined the boundaries of the communications, technology, media, publishing and technology industries. The companies that thrived through those changes were those who best understood how to use technology to merge capabilities from across those industries into new business models. In the coming decade as digitisation extends to industries such as manufacturing through technologies such as 3D printing and smart materials, more and more industry sectors will be redefined by similar levels of disruption and convergence.

So how are the economies of our cities placed to be successful in that world of change?

My home city Birmingham has many of the economic capabilities required to exploit those imminent changes successfully. It has a manufacturing base that includes advanced digital capability; it has a growing technology industry and a strong creative sector. Professional services companies offer financial and legal support, and local Universities have world-class research capability in disciplines such as healthcare and medical technology.

But as in many cities, those capabilities are concentrated in separate areas of the city. The collage of photographs below depicts some of Birmingham’s value-creating districts, placed in relation to some of the spatial characteristics of the city that divide them.

(A collage of photographs of some of Birmingham's value-creating districts, placed in relation to some of the spatial characteristics of the city that divide them).

(A collage of photographs of some of Birmingham’s value-creating districts, placed in relation to some of the spatial characteristics of the city that divide them. See the end of this article for attributions).

In the top left of the collage, the Jewellery Quarter, a centre of advanced manufacturing to the North of the City Centre, is separated from the digital technology incubation capability of Innovation Birmingham on the Aston University Campus, and from financial and legal expertise in the Colmore Row business district, by the four-lane Great Charles Street Queensway, part of the city-centre ringroad.

The Aston Campus is separated from the Eastside learning quarter, home to Millennium Point and Birmingham City University, by the Jennens Road dual carriageway. Eastside itself is separated from the creative media cluster around the Custard Factory and Fazeley Studios in Digbeth in the South East by the East Coast mainline from Birmingham to London; and by the semi-dereliction of some parts of the Digbeth manufacturing district.

To the South West, the enormous medical research capability around the University Hospital of Birmingham and University of Birmingham and it’s Research Park are three miles from the City Centre. And whilst the retail core of the city was dramatically transformed by the Bullring redevelopment over a decade ago, it lacks the independent shops, cafe and culture that might naturally attract those who work in the surrounding creative districts to congregate together.

The city’s Big City Plan and independent initiatives such as Coffee Birmingham are doing much to address these issues – and in particular, the city centre now boasts a number of fine cafes and delicatessens such as the Urban Coffee Company and York’s Bakery Cafe. But nevertheless these examples illustrate challenges many cities face in adapting their spatial structure to the needs of the new economy to bring their collective capabilities together to create new ideas and innovations.

(Visitors to Birmingham's new Eastside city park which connects the city centre and train stations to the Eastside learning district)

(Visitors to Birmingham’s new Eastside city park which connects the city centre and train stations to the Eastside learning district)

I took my family to Birmingham’s new Eastside City Park recently; the park is intended to address some of the challenges I have just described by better connecting the learning quarter to the city centre and train stations by providing a walking and cycling route between them, as well as an open space with value in its own right.

By coincidence, I had just read the chapter in Jane Jacobs’ seminal “Death and Life of Great American Cities” which addresses the factors which determine whether city parks and spaces work or fail; and describes how difficult it can be to make them successful. I was therefore delighted to see the Eastside park full of people – families with children playing; couples relaxing in the sun; students and workers stopping for food and coffee. This vibrancy, created by the proximity of mixed business, learning and leisure facilities, did not happen by accident. It is a product both of the careful design of the park; and of the context of the park’s creation within a multi-decade strategy for regenerating the surrounding district, which incorporates the expansion and re-location of two colleges and two universities in the area.

Birmingham’s Eastside park – like Bradford’s new City Park, winner of the Academy of Urbanism’s “Great Place 2013″ award – is a great example of reclaiming for people an important area that had previously been shaped by the requirements of cars, trucks and lorries.

But as a new generation of technology, digital technology, starts to shape our cities, how can we direct the deployment of that technology to be sympathetic to the needs of people and communities, rather than hostile to them, as too much of our urban transport infrastructure has been?

This is an urgent and vital issue. For example, privacy and security are perhaps the greatest current challenges of the digital age – as epitomised by the challenge issued to Google this week by United States politicians concerning the privacy implications of their latest innovation, “Google Glass”. But these concerns are not limited to the online world. Jane Jacobs based her understanding of city systems on privacy and safety. Google Glass epitomises the way that innovations in consumer technology are changing the relationship between physical and digital environments; with the consequence that a failure in privacy or security digital systems could affect community vitality or public safety in cities.

A particularly stark example is the 3D-printed gun, which I first mentioned last August. A reliable process for producing these is now being disseminated by the pro-firearms movement in the United States. As half a century of widespread sharing of music demonstrates, we cannot rely on Digital Rights Management technology for gun control. Other developments that I think need a similar level of consideration are the ability to create artificial meat in laboratories, which has been suggested as one way to feed a growing world population; and the increasing ability of information systems to interact directly with our own minds and bodies. To my mind these technologies challenge our fundamental assumptions about what it means to be human, and our relationship with nature.

(Google’s wearable computer, Google Glass. Photograph by Apostolos)

So how are we to resolve the dilemma that emerging technologies offer both the best chance to address our challenges and great potential to exacerbate them?

The first step is for us to collectively recognise what is at stake: the safety and resilience of our communities; and the nature of our relationship with the environment. Digital technology is not just supporting our world, it is beginning to transform it.

The second step is for the designers of cities and city services – architects, town planners, transport officers, community groups and social innovators –  to take control of the technology agenda in their cities and communities, rather than allow technologists to define it by default.

My role as a technologist is to create visions for what is possible; and to communicate those visions clearly to stakeholders in cities. In doing so it is important to communicate the whole story – the risks and uncertainties inherent in it, not just the great gadgets that make it possible. If I do that, I’m enabling the potential consumers of technology to make informed choices – for example, choosing whether or not to use certain online services or digital devices based on an understanding of their approaches to the use of personal information.

The truth, though, is that we are in the very earliest stages of considering these technologies in that way in the overall design, planning and governance of cities. A huge number of the initiatives that are currently exploring their use are individual projects focussed on their own goals; they are not city-wide strategic initiatives. And whilst some are led by city authorities, many more are community initiatives, such as the Social Media Surgeries which began in Birmingham but which now run internationally; or are led by business – technology corporations like IBM and Google, the developers of buildings such as the Greenhouse in Leeds, or small start-ups like Shutl.

In contrast, it is the role of policy-makers, town planners, and architects to understand how technology can help cities achieve their overall objectives such as economic growth, improvements in social mobility and reductions in the disparity in life expectancy. It is also their role to put in place any necessary constraints and governance to manage the impact of those technologies – for example, policies that oblige the developers of new buildings to make data from those buildings openly available as part of an overall “open data” strategy for a city.

As well as technologists, three crucial groups of advisers to that process are social scientists, design thinkers and placemakers. They have the creativity and insight to understand how digital technologies can meet the needs of people and communities in a way that contributes to the creation of great places, and great cities – places like the Eastside city park that are full of life.

Tina Saaby, Copenhagen’s City Architect, expressed a beautiful principle of placemaking in her address to the Academy of Urbanism Congress:

“Consider urban life before urban space; consider urban space before buildings”

In my view, we should apply a similar principle to technology:

 “Consider urban life before urban place; consider urban place before technology

(Tina Saaby, Copenhagen's City Architect, addressing the Academy of Urbanism Congress in Bradford)

(Tina Saaby, Copenhagen’s City Architect, addressing the Academy of Urbanism Congress in Bradford)

Without this perspective, I don’t personally believe that we’ll create the great digital places that we need.

That’s why I spent last week exploring this topic with placemakers, town planners and policy-makers in a “digital urbanism” workshop at the Academy of Urbanism Congress; and it’s why I’ll be exploring it in June with social scientists and researchers of city systems at the University of Durham. I’ll be writing again soon on this blog about what I’m learning from those meetings.

Not everything promised by technology will transpire or succeed, and it is often right to be sceptical of individual ideas until they’re proven. But there should be no question of the magnitude and impact of the changes that technology will create in the near future. And it’s down to us to take charge of those changes for our benefit as individuals and communities.

(The photographic collage of Birmingham involves some of my own photographs, but also the following images:

Can digital technology help us build better cities? A workshop at the Academy of Urbanism Annual Congress, Bradford, Thursday 16th May

(Protesters at Occupy Wallstreet using digital technology to coordinate their demonstration. Photo by David Shankbone)

Over the course of the last two decades, digital technologies such as the Internet, mobile telephone and touchscreen have transformed the way we communicate, work and live; and in so doing have caused industries such as publishing and music to change out of all recognition.

These developments clearly change the way that we behave in cities – the way we travel; and where and when we work, shop and communicate.

And they lead to new demands on the urban environment from residents, visitors, businesses and communities: the availability of mobile and broadband connectivity; open data portals; and transient working environments such as the Hub Westminster collaborative workspace – or simply cafes with wi-fi and power outlets.

Should these technologies change the way we design and build cities, and if so, how? Do technologies offer solutions to difficult problems such as offering more flexible, coordinated transport services? Or are they a distraction on focussing on what really matters – the physical, social and economic needs of people and their communities? And how do they compare to long-standing debates within the more traditional domains of urbanism about how good cities are created, regardless of technology?

(The collaborative working space of Hub Westminster which is constantly refactored to support new uses, exploiting furniture and spatial technology laser-cut from digital designs)
(The collaborative working space of Hub Westminster which is constantly refactored to support new uses, exploiting furniture and spatial technology laser-cut from digital designs)

The Academy of Urbanism, a body of several hundred professionals, researchers and policy-makers involved in the design and operation of cities from perspectives as diverse as town planning, social science and technology is holding a workshop at it’s Annual Congress in Bradford this year to explore these issues.

The workshop will feature opening contributions from speakers from a variety of backgrounds, and with differing opinions on the value and relevance of digital technology to good urbanism. Our intention is to stimulate an informed and frank debate to follow;  from which we hope that useful, practical insights will emerge on whether and how the technology agenda is relevant to cities.

Some of the questions we’d like to consider in the debate are:

  • Do emerging uses of technology in cities have implications for spatial or master-planning – for example, the provision of physical space for cabling, or the specification of policies or standards for information from city infrastructures to be made openly available?
  • What implications do technology trends such as online commerce and virtual working have for requirements for physical space and transport in cities?
  • If cities need the flexibility in their physical infrastructure implied by such approaches as “Smart Urbanism“, then can technology enable that flexibility? And what are the design principles for technology that should be applied in order to do so?
  • If technology professionals and urban designers are applying their skills in the same context domain (city systems) can we use tools common to both professions, such as design patterns, to combine and share our expertise?
  • What are the new investment and management models for funding, delivering and governing “smart” systems? How do they reflect the achievement of long term social, economic and environment objectives? How can the achievements of entrepreneurial and social enterprises be replicated at city-scale?

Our plans are still forming; so I’d value your thoughts on the theme and scope of the workshop; the structure of the debate; questions that will stimulate a constructive and worthwhile discussion … and any speakers on this topic – whether they are proponents or sceptics of technology in cities – who you think would be particularly interesting. (I’ll update this blog soon with our initial speakers once I’ve confirmed them).

And of course, I’d love you to simply attend the conference and the workshop and join the debate! I hope to see some of you there.

Refactoring, nucleation and incubation: three tools for digital urban adaptability

(This year's Ecobuild conference, which showcases technologies for sustainable cities)

(This year’s Ecobuild conference in London, which showcases technologies for sustainable cities)

When I am at my most productive as a computer programmer, I don’t write code; I sculpt virtual objects from it.

Any computer system exists to fulfill a purpose in the real world. To do so it recreates in code those aspects of the world that are relevant to its purpose. What transformed the creation of that model from the laborious, procedural task of writing instructions into the seamless creative flow that I liken to sculpting was Martin Fowler‘s conception of “refactoring”.

In Martin’s words:

“Refactoring is a disciplined technique for restructuring an existing body of code, altering its internal structure without changing its external behavior. Its heart is a series of small behavior preserving transformations. Each transformation (called a ‘refactoring’) does little, but a sequence of transformations can produce a significant restructuring. Since each refactoring is small, it’s less likely to go wrong. The system is also kept fully working after each small refactoring, reducing the chances that a system can get seriously broken during the restructuring.”

(quoted from the Refactoring homepage).

Refactoring is at the heart of what we now know as the “Agile Development” of software. Agile approaches embrace the fact that when we start to create a new system, we don’t know exactly what the final result should be. Traditional approaches to software development attempted to address that challenge through the lengthy analysis of stakeholder requirements. In contrast, agile approaches address it by quickly presenting a first working solution to stakeholders for feedback, and asking them what should be changed. The final solution is co-created by developers and stakeholders through many iterations of that process.

Refactoring codified the tools and techniques for performing the adaptations to computer systems required by that evolutionary process whilst preserving their operability. With practise, a good programmer internalises those tools so that they are used almost unconsciously – just as any good artisan or artist creates their work through the expert application of technique.

We need similar tools and techniques to support the evolution of our cities in the 21st Century.

Those cities will exist in a world that is ever more changeable, and ever less certain. Geoffrey West’s analysis of city systems, for example, showed that as the cities of the world grow, the rate of social, technological and economic change within them will increase. At the same time, climate change is causing not just an increase in temperature, but an increase in the variability of temperature, and of other environmental conditions. That variability reduces the stability of supply of grain and other natural resources that underpin the systems that support life. In order to provide social stability in this context, cities need to be adaptable and resilient in the face of change and uncertainty.

But it is already the case that the urban, economic and social systems of cities can’t keep up with the rate of change we are experiencing today.

(Image by TurkleTom)

Take the ability of education to support the economy. Google’s Chairman Eric Schmidt criticised the British Education system recently for producing insufficient computer programming skills to meet the needs of businesses.

But our current need for those skills is based on the computing technologies that are broadly adopted by business today. By and large those technologies are at least five years behind the leading edge; consider that whilst the first generation Apple iPad was launched in 2010, most businesses do not yet routinely provide their employees with a touchscreen tablet for use as a business tool.

As the rate of change in science and technology increases, the skills required by business will also change more rapidly. Consequently, it will become even more challenging to design and operate an education system that prepares children for productive careers in an economy that evolves for at least a decade after their education begins.

We won’t design those education systems successfully by considering our current requirements for skills; or by attempting to predict the skills that will be required ten years from now. If we make such predictions, they will be wrong. Instead we need to equip the education system with refactoring tools that allow it to continually adapt to the changing needs of the present.

The same challenges apply to the strategic planning of physical infrastructure in cities. As cities pursue “Smarter City” strategies, and as their economies evolve to exploit new technologies, what are the impacts on power requirements? On the need to provide connectivity to residential, retail and business space? On the physical space required by retail and business as online commerce and mobile working continue to grow? And on the movement of people and goods as information marketplaces change the physical supply chains of industries?

The only thing we can be sure of is the need for flexibility: the city of the future will need to be more responsive and adaptable to change than the cities that we know today.

(The collaborative working space of Hub Westminster which is constantly refactored to support new uses, exploiting furniture and spatial technology laser-cut from digital designs)

(The collaborative working space of Hub Westminster which is constantly refactored to support new uses, exploiting furniture and spatial technology laser-cut from digital designs)

Techniques to provide flexibility in the physical environment are already emerging. Kelvin Campbell’s theory of Smart Urbanism encourages the use of a spatial grid, party walls and building shells as a substrate upon which the fine detail of a city can grow.

A high quality, detailed physical environment can first be constructed on such a substrate according to customisable “design patterns” such as town houses and mews studios; and then refactored through interventions such as the reconfiguration of internal walls; the conversion of lofts to living or working space; or straightforward extensions to the physical size of buildings. Recently developed technologies such as 3D printing and 3D cutting provide additional opportunities for the physical refactoring of buildings and cities that would have been unimaginable relatively recently.

In materials science, sophisticated materials such as semi-conductors and super-conductors grow when large numbers of individual atomic particles are attracted to appropriately designed substrates; and when those particles form clusters together which eventually grow and combine into continuous materials. The process by which those initial clusters form is nucleation.

By analogy, if we can design urban substrates which encourage the nucleation of small-scale, productive, sustainable social and economic activity; and the subsequent agglomeration of that activity into larger-scale systems; then we will have created an environment in which smarter 21st century cities can grow.

We need to evolve similar concepts to support the development of information infrastructures for smarter cities. Broadband, wi-fi and mobile communications provide the equivalent substrate to the grid-based spatial framework of a city; but what are the equivalents of the party wall, building shell, design pattern and nucleation?

Open data“, for example, is clearly an important component of a Smarter City information infrastructure; but we do not yet fully understand how to exploit it sustainably. Doing so will likely involve structures such as city information partnerships; sustainable commercial models; standards for the interchange of datamodels of the meaning of data; and planning and procurement policies that embed the openness and interoperability of data into the development process.

Finally, the same challenges appear in economic development.

Michael Porter’s theory of economic clusters states that in order to protect profit margins from commoditisation over time, businesses need to constantly adopt new capabilities into their products and services. As science and technology develop more rapidly, cities and regions will need to drive that process of innovation more intensively in order to remain competitive in the global economy.

(The Old Street roundabout, around which London's "Tech City" cluster of technology companies has evolved)

(The Old Street roundabout, around which London’s “Tech City” cluster of technology companies has evolved)

This thinking is behind the technology innovation and business incubation partnership programme I’m putting together for IBM with Sunderland Software City, following our recent agreement to provide support for their new urban technology incubation campus at Tavistock Place.

Sunderland Software City- like Bristols’ Watershed media incubation centre and Birmingham’s Science Park Aston and Custard Factory – are exploring a form of urban technology incubation that is very different from that enabled by the more common out-of-town, campus-based science parks. They are not only concerned with supporting  new businesses that exploit the latest developments in science and technology; but with doing so in a way that creates synergies between local businesses, and that contributes to the  economic and industrial strategy of the cities where they are located.

Refactoring, nucleation and incubation are concepts drawn independently from domains as diverse as software engineering, the physical sciences and economics. There is no guarantee that they are mutually compatible; or even relevant to urban systems in any more direct way than by loose analogy.

But they share important characteristics that are also observed in successful urbanism and the research of resilient systems. For example: a preference for emergent growth rather than planned development;  and the need to enable widespread changes that are adaptable to highly specific local contexts.

So whilst I can’t be sure that these concepts are universally applicable, I am convinced that their potential value is so great that we are compelled to explore them.

%d bloggers like this: